Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1016/j.jadohealth.2020.05.014
The author Yuval Harari opined, "humans were always far better at inventing tools than using them wisely" [[1]Hariri Y.N. 21 lessons for the 21st century. Speigel & Grau, New York2018Google Scholar]. The "tool" to which this caution is most relevant in the 21st century is artificial intelligence (AI), the use of which has proliferated in many fields. Health care is no exception, and adolescent and young adult (AYA) health care is of special interest to AI. For example, in this supplement, Giovanelli et al. see the hope and promise of carefully leveraging AI to support adolescent health, underscoring the need for multidisciplinary developmental science teams with expertise in cognitive development, medicine, psychology, computer science, and medical informatics [[2]Giovanelli A. Ozer E.M. Dahl R.E. Leveraging technology to improve health in adolescence: A developmental science perspective.J Adolesc Health. 2020; 67: S7-S13Abstract Full Text Full Text PDF PubMed Scopus (27) Google Scholar]. Rowe and Lester contribute a computer science perspective on how emerging AI technologies create new opportunities for personalizing technology-based health interventions to adolescents [[3]Rowe J. Lester J.C. Artificial intelligence for personalized preventive adolescent healthcare.J Adolesc Health. 2020; 67: S52-S58Abstract Full Text Full Text PDF Scopus (17) Google Scholar]. This Commentary explores the other side: the unique perils of applying AI to AYA health care. Given this population's vulnerability, health care needs, and graduated autonomy from the adults who have thus far governed their lives, centering equitable and inclusive AI is crucial. Consider the Google Nightingale whistleblower case disclosing the "transfer of medical history data, which can be accessed by Google staff" [[4]Pilkington E. Google's secret cache of medical data includes names and full details of millions – whistleblower. The Guardian, 2019Google Scholar]. Add the lifetime risk for vulnerable populations lacking relevant safeguards while profit-motivated organizations compete for health care market share, targeting consumer behavior, and leveraging health care and other data for profit. The potential unintended consequences for personal privacy and equitable inclusion are staggering. Despite their tech-savviness, AYAs are vulnerable because their online identities are being created, whereas their offline identities are still forming. Social and pragmatic pressures, such as the use of technology in education, result in AYA technology usage and the sharing of personal information without clear guidance or consent around the potential implications of said sharing [[5]McVeigh T. Iranian fugitive: Identity mix-up with shot Neda wrecked my life. The Guardian, 2012Google Scholar]. AYAs are unwittingly creating life-long, permanent internet and social media records (unless they are governed by General Data Protection Regulation's right to be forgotten clause), increasing the probability of privacy breaches [[6]Sarker A. Chandrashekar P. Magge A. et al.Discovering cohorts of pregnant women from social media for safety surveillance and analysis.J Med Internet Res. 2017; 19: e361Crossref PubMed Scopus (10) Google Scholar]. When consent is treated as merely a checkbox—and not a truly informed bidirectional process—this permanence is especially troubling. In particular, technological platforms create new venues for bullying, assault, and victimization, with permanent digital records leaving lasting opportunities for insult or attack. The characteristics of technology-based assault (and the corresponding reduction in personal control of sensitive and private information) can leave AYA feeling helpless and lacking agency, thereby constituting new forms of traumatization and childhood adversity. Robust AI systems should prioritize collaboration, open communication, safety, and social responsibility. Otherwise, AYAs are left at significant psychological and social risk. Wong et al. describe several challenges to leveraging AI to improve preventative health care for AYA: "the disconnectedness between digital health tools and clinical care, threats to AYA privacy and security, and difficulty identifying high-value digital health products for AYA." The challenges of applying AI to health care have been well documented [[7]Matheny M. Thadaney Israni S. Ahmed M. Whicher D. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. National Academy of Medicine, Washington, DC2019Google Scholar]. Three perils most relevant to AYA are data bias, surveillance capitalism, and sharenting. Digital tools rely on data for the training and robustness of algorithms, and the lack of population-representative and of historically biased data leads to "Weapons of Math Destruction" [[8]O'Neill C. Weapons of Math destruction. Crown, New York2018Google Scholar]. Currently deployed health care AI has already created discriminatory outcomes for minorities, and this could be further exacerbated via race, age, sex, and heteronormativity bias [[9]Nordling L. A fairer way forward for AI in health care.Nature. 2019; 573: S103-S105Crossref PubMed Scopus (28) Google Scholar,[10]Stein V. Genetic research has a white bias, and it may be hurting everyone's health.PBS Newshour. 2019; Google Scholar]. Another concern is the use of improper proxies. For example, the use of health care usage as a proxy for health care needs caused an algorithm deployed on 100 million patients in the U.S. to be racially biased against black patients when prioritizing health resources [[11]Obermeyer Z. Powers B. Vogeli C. Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations.Science. 2019; 366: 447-453Crossref PubMed Scopus (1109) Google Scholar]. The computer science adage, Garbage-In, Garbage-Out, necessitates closely inspecting the data used to develop digital tools: questioning underlying biases and ensuring population representativeness in the development team; appropriateness of how the tool should and/or could be deployed; and assessing unintended consequences if the tool were to be misused [[12]Thadaney Israni S. Verghese A. Humanizing artificial intelligence.JAMA. 2019; 321: 29-30Crossref PubMed Scopus (32) Google Scholar]. "Surveillance capitalism" is particularly challenging for youth because it widely collects consumer data and monetizes it via digital tools [[13]Zuboff S. The age of surveillance capitalism. PublicAffairs, New York2019Google Scholar]. Lacking clear consent, we run the risk of patient-provided data assets unethically monetized. There is a need to address and clarify current regulations, legislation, and patient expectations when patient data are used for building profit-motivated products or for research, which creates intellectual property. The promise of influencing human behavior for ideal health outcomes often proposes linking data from social media, environmental surveillance, education, and other life spaces. But, issues of consent, privacy, potential misuse, and data governance have not been clearly addressed. In 2019, Google and the University of Chicago were sued because the university shared deidentified data with Google. The suit alleges the data could be reidentified given "Google's expertise in data mining and AI" [[14]Copeland R. Google's 'Project Nightingale' gathers personal health data on millions of Americans.Wall Street J. 2019; Google Scholar]. "Sharenting" is a unique conundrum for children. Described as "online sharing about parenting," parents shape their children's digital identity long before young people define themselves. The disclosures parents make online follow their children into adulthood. Social media and blogging have changed the landscape facing today's children as they come of age. Parents' rights to control the upbringing of their children and parents' rights to free speech trumps a child's interest in their own privacy [[15]Steinberg S.B. Sharenting: Children's privacy in the age of social media.Emory L J. 2017; 66: 839Google Scholar]. From a psychological perspective, these conundrums may have negative implications for AYA's mental health and general well-being. Despite these aforementioned perils, AI has the promise to advance AYA health care if adopted appropriately. The 2019 National Academy of Medicine publication on AI health care (developed through an iterative process involving a multistakeholder group of experts) proposes a human rights values framework for implementing AI. Prioritizing human-centeredness over business criteria such as efficiency and cost will prevent unintended consequences of "automating inequality" [[12]Thadaney Israni S. Verghese A. Humanizing artificial intelligence.JAMA. 2019; 321: 29-30Crossref PubMed Scopus (32) Google Scholar,[16]Eubanks V. Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press, New York2019Google Scholar] (Figure 1). Today, social determinants of health, adverse childhood experiences, and perverse incentives already skew health outcomes. In addition, many technologies worsen inequities in health care via the digital divide [17Bay area regional health inequities initiative. Framework.http://barhii.org/framework/Date accessed: May 15, 2020Google Scholar, 18Rosenthal E. How economic incentives have created our dysfunctional US medical market.https://medium.com/@RosenthalHealth/how-economic-incentives-have-created-our-dysfunctional-us-medical-market-b681c51d6436Date accessed: May 15, 2020Google Scholar, 19Makri A. Bridging the digital divide in health care.Lancet Digital Health. 2019; 1: e204-e205Abstract Full Text Full Text PDF Google Scholar]. "Technochauvinim" refers to the belief that the proverbial AI hammer is the only solution [[20]Broussard M. Artificial unintelligence: How computers misunderstand the world. The MIT Press, Cambridge, Mass2019Google Scholar]. Sadly, it delivers transactional care because digital tools focus on that which is currently measurable and digitizable, disregarding transformative care, which is human-centered and true caring. Thus, permitting the business of medicine to minimize the caring in health care. Because AI has the potential to exacerbate existing inequities in health and health care, we must balance innovative digital technologies for improving AYA health with equitable inclusivity. We recommend explicitly incorporating the quintuple aim when building and deploying health care AI (Figure 2). That which is measured is prioritized and delivered. Else the caring in health care will be reserved for those with the privilege of concierge medicine, leaving kiosk-dispensed empty health delivery for the less privileged.Figure 2Quintuple aim for devising and deploying health care interventions.(source: NAM "AI in Healthcare: The Hope, The Hype, The Promise, The Peril," 2019).View Large Image Figure ViewerDownload Hi-res image Download (PPT) AI is a game-changing technology, but it needs to be thoughtfully integrated with health care to avoid societal harm. We must center a human rights framework, prioritizing equitable inclusion, when devising and deploying solutions. We must also welcome regulatory scrutiny, which promotes the use of technologies for improving population health. "Technology that is not subject to such scrutiny does not deserve our trust, nor should we ever allow it to be deeply integrated into our work" [[21]Verghese A. How tech can turn doctors into clerical workers. The New York Times, 2018Google Scholar]. This Commentary benefits from Thadaney Israni, Matheny, and Whicher's roles as coeditors of the National Academy of Medicine's Working Group on artificial intelligence in health care and their coauthoring and coediting of the NAM Special Publication: "AI in Healthcare: The Hope, The Hype, The Promise, The Peril" (available at: https://aboutdigitalhealth.com/2019/12/18/report-ai-in-healthcare-the-hope-the-hype-the-promise-the-peril/).
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jadohealth.2020.05.014
- OA Status
- hybrid
- Cited By
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- Title
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Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult HealthWork title
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articleOpenAlex work type
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enPrimary language
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2020Year of publication
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2020-07-24Full publication date if available
- Authors
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Sonoo Thadaney Israni, Michael E. Matheny, Ryan Matlow, Danielle WhicherList of authors in order
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https://doi.org/10.1016/j.jadohealth.2020.05.014Publisher landing page
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jadohealth.2020.05.014Direct OA link when available
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Health care, Scopus, Psychology, Psychological intervention, Population, Digital health, Autonomy, Health equity, Medical education, Medicine, Public relations, Public health, MEDLINE, Nursing, Political science, Psychiatry, Law, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.than | 13 |
| abstract_inverted_index.that | 1341, 1375, 1562 |
| abstract_inverted_index.them | 15 |
| abstract_inverted_index.they | 407, 1097 |
| abstract_inverted_index.this | 35, 79, 214, 699 |
| abstract_inverted_index.thus | 228 |
| abstract_inverted_index.tool | 853, 865 |
| abstract_inverted_index.true | 1389 |
| abstract_inverted_index.turn | 1592 |
| abstract_inverted_index.used | 807, 833, 947 |
| abstract_inverted_index.well | 604 |
| abstract_inverted_index.were | 6, 866, 1006 |
| abstract_inverted_index.when | 789, 943, 1438, 1540 |
| abstract_inverted_index.will | 1215, 1461 |
| abstract_inverted_index.with | 105, 385, 487, 1014, 1428, 1466, 1523 |
| abstract_inverted_index.(AI), | 47 |
| abstract_inverted_index.(AYA) | 67 |
| abstract_inverted_index.(PPT) | 1510 |
| abstract_inverted_index.2017; | 449, 1137 |
| abstract_inverted_index.2019, | 999 |
| abstract_inverted_index.2019; | 722, 745, 814, 878, 1047, 1230, 1326 |
| abstract_inverted_index.2020; | 136, 185 |
| abstract_inverted_index.AYA's | 1152 |
| abstract_inverted_index.AYA." | 593 |
| abstract_inverted_index.Ahmed | 611 |
| abstract_inverted_index.Care: | 619 |
| abstract_inverted_index.Given | 213 |
| abstract_inverted_index.Grau, | 27 |
| abstract_inverted_index.Group | 1622 |
| abstract_inverted_index.Hope, | 621, 1495, 1643 |
| abstract_inverted_index.Hype, | 623, 1497, 1645 |
| abstract_inverted_index.Image | 1504 |
| abstract_inverted_index.Large | 1503 |
| abstract_inverted_index.Magge | 430 |
| abstract_inverted_index.There | 929 |
| abstract_inverted_index.Three | 635 |
| abstract_inverted_index.Thus, | 1391 |
| abstract_inverted_index.Yuval | 2 |
| abstract_inverted_index.about | 1061 |
| abstract_inverted_index.adult | 66 |
| abstract_inverted_index.allow | 1578 |
| abstract_inverted_index.avoid | 1527 |
| abstract_inverted_index.being | 335 |
| abstract_inverted_index.bias, | 643, 736 |
| abstract_inverted_index.black | 787 |
| abstract_inverted_index.cache | 264 |
| abstract_inverted_index.care, | 578, 1384, 1417 |
| abstract_inverted_index.care. | 212, 1403 |
| abstract_inverted_index.clear | 368, 917 |
| abstract_inverted_index.could | 700, 856, 1021 |
| abstract_inverted_index.data, | 252 |
| abstract_inverted_index.empty | 1474 |
| abstract_inverted_index.focus | 1373 |
| abstract_inverted_index.forms | 526 |
| abstract_inverted_index.given | 1024 |
| abstract_inverted_index.group | 1193 |
| abstract_inverted_index.harm. | 1529 |
| abstract_inverted_index.human | 963, 1198, 1534 |
| abstract_inverted_index.ideal | 966 |
| abstract_inverted_index.image | 1508 |
| abstract_inverted_index.leads | 670 |
| abstract_inverted_index.leave | 516 |
| abstract_inverted_index.life. | 390 |
| abstract_inverted_index.media | 404, 440, 1086 |
| abstract_inverted_index.names | 269 |
| abstract_inverted_index.needs | 770, 1518 |
| abstract_inverted_index.often | 969 |
| abstract_inverted_index.other | 201, 308, 980 |
| abstract_inverted_index.poor. | 1249 |
| abstract_inverted_index.proxy | 766 |
| abstract_inverted_index.race, | 705 |
| abstract_inverted_index.right | 415 |
| abstract_inverted_index.risk. | 553 |
| abstract_inverted_index.roles | 1612 |
| abstract_inverted_index.shape | 1064 |
| abstract_inverted_index.side: | 202 |
| abstract_inverted_index.still | 342 |
| abstract_inverted_index.team; | 848 |
| abstract_inverted_index.teams | 104 |
| abstract_inverted_index.their | 231, 325, 331, 338, 1065, 1081, 1108, 1121, 1630 |
| abstract_inverted_index.these | 1145, 1159 |
| abstract_inverted_index.those | 1465 |
| abstract_inverted_index.tools | 12, 575, 649, 904, 1243, 1372 |
| abstract_inverted_index.truly | 467 |
| abstract_inverted_index.usage | 360, 763 |
| abstract_inverted_index.using | 14 |
| abstract_inverted_index.which | 34, 51, 253, 955, 1376, 1385, 1448, 1551 |
| abstract_inverted_index.while | 291 |
| abstract_inverted_index.white | 735 |
| abstract_inverted_index.women | 437 |
| abstract_inverted_index.work" | 1586 |
| abstract_inverted_index.young | 65, 1071 |
| abstract_inverted_index.youth | 892 |
| abstract_inverted_index."tool" | 32 |
| abstract_inverted_index.(1109) | 819 |
| abstract_inverted_index.Crown, | 682 |
| abstract_inverted_index.Figure | 1505 |
| abstract_inverted_index.Google | 147, 195, 242, 258, 455, 728, 746, 820, 884, 1000, 1048, 1236, 1334 |
| abstract_inverted_index.Harari | 3 |
| abstract_inverted_index.Health | 57, 618 |
| abstract_inverted_index.Hi-res | 1507 |
| abstract_inverted_index.Israni | 609, 871, 1223 |
| abstract_inverted_index.Lester | 151, 174 |
| abstract_inverted_index.Peril" | 1649 |
| abstract_inverted_index.Peril. | 627 |
| abstract_inverted_index.Powers | 795 |
| abstract_inverted_index.Press, | 1252, 1361 |
| abstract_inverted_index.PubMed | 144, 452, 725, 817, 881, 1233 |
| abstract_inverted_index.Robust | 532 |
| abstract_inverted_index.Sadly, | 1365 |
| abstract_inverted_index.Scopus | 145, 193, 453, 726, 818, 882, 1234 |
| abstract_inverted_index.Social | 344, 1085 |
| abstract_inverted_index.Street | 1045 |
| abstract_inverted_index.Times, | 1600 |
| abstract_inverted_index.Today, | 1258 |
| abstract_inverted_index.Vogeli | 797 |
| abstract_inverted_index.[17Bay | 1286 |
| abstract_inverted_index.adage, | 825 |
| abstract_inverted_index.adults | 225 |
| abstract_inverted_index.always | 7 |
| abstract_inverted_index.and/or | 855 |
| abstract_inverted_index.around | 372 |
| abstract_inverted_index.assets | 926 |
| abstract_inverted_index.author | 1 |
| abstract_inverted_index.before | 1070 |
| abstract_inverted_index.belief | 1340 |
| abstract_inverted_index.better | 9 |
| abstract_inverted_index.biased | 668, 785 |
| abstract_inverted_index.biases | 840 |
| abstract_inverted_index.caring | 1400, 1457 |
| abstract_inverted_index.caused | 771 |
| abstract_inverted_index.center | 1532 |
| abstract_inverted_index.create | 162, 479 |
| abstract_inverted_index.deeply | 1582 |
| abstract_inverted_index.define | 1073 |
| abstract_inverted_index.divide | 1285, 1320 |
| abstract_inverted_index.facing | 1093 |
| abstract_inverted_index.fairer | 714 |
| abstract_inverted_index.follow | 1080 |
| abstract_inverted_index.hammer | 1345 |
| abstract_inverted_index.health | 68, 127, 168, 211, 217, 296, 305, 566, 574, 590, 600, 688, 720, 761, 768, 791, 811, 967, 1039, 1154, 1169, 1183, 1271, 1280, 1289, 1322, 1402, 1414, 1416, 1427, 1442, 1459, 1475, 1487, 1524, 1627 |
| abstract_inverted_index.insult | 495 |
| abstract_inverted_index.issues | 984 |
| abstract_inverted_index.lives, | 232 |
| abstract_inverted_index.manage | 809 |
| abstract_inverted_index.market | 298 |
| abstract_inverted_index.media, | 975 |
| abstract_inverted_index.mental | 1153 |
| abstract_inverted_index.merely | 462 |
| abstract_inverted_index.mining | 1029 |
| abstract_inverted_index.mix-up | 384 |
| abstract_inverted_index.needs, | 219 |
| abstract_inverted_index.online | 332, 1079 |
| abstract_inverted_index.people | 1072 |
| abstract_inverted_index.perils | 205, 636 |
| abstract_inverted_index.punish | 1247 |
| abstract_inverted_index.racial | 802 |
| abstract_inverted_index.refers | 1337 |
| abstract_inverted_index.result | 356 |
| abstract_inverted_index.rights | 1102, 1112, 1199, 1535 |
| abstract_inverted_index.safety | 442 |
| abstract_inverted_index.secret | 263 |
| abstract_inverted_index.share, | 299 |
| abstract_inverted_index.shared | 1011 |
| abstract_inverted_index.should | 535, 854, 1575 |
| abstract_inverted_index.social | 403, 439, 542, 552, 974, 1133, 1259 |
| abstract_inverted_index.speech | 1115 |
| abstract_inverted_index.staff" | 259 |
| abstract_inverted_index.tools: | 837 |
| abstract_inverted_index.trumps | 1116 |
| abstract_inverted_index.trust, | 1573 |
| abstract_inverted_index.unique | 204, 1053 |
| abstract_inverted_index.values | 1200 |
| abstract_inverted_index.venues | 481 |
| abstract_inverted_index.widely | 895 |
| abstract_inverted_index.world. | 1358 |
| abstract_inverted_index.worsen | 1277 |
| abstract_inverted_index."humans | 5 |
| abstract_inverted_index."online | 1059 |
| abstract_inverted_index.(Figure | 1256, 1445 |
| abstract_inverted_index.(unless | 406 |
| abstract_inverted_index.19Makri | 1315 |
| abstract_inverted_index.Academy | 629, 1177, 1618 |
| abstract_inverted_index.Adolesc | 134, 183 |
| abstract_inverted_index.Another | 748 |
| abstract_inverted_index.Because | 1404 |
| abstract_inverted_index.Chicago | 1005 |
| abstract_inverted_index.Despite | 324, 1158 |
| abstract_inverted_index.Digital | 648, 1324 |
| abstract_inverted_index.General | 411 |
| abstract_inverted_index.Genetic | 731 |
| abstract_inverted_index.Google. | 1015 |
| abstract_inverted_index.Health. | 135, 184, 1325 |
| abstract_inverted_index.Iranian | 381 |
| abstract_inverted_index.Israni, | 1608 |
| abstract_inverted_index.Lacking | 916 |
| abstract_inverted_index.Peril," | 1501 |
| abstract_inverted_index.Special | 1637 |
| abstract_inverted_index.Speigel | 25 |
| abstract_inverted_index.Weapons | 678 |
| abstract_inverted_index.Whicher | 613 |
| abstract_inverted_index.Working | 1621 |
| abstract_inverted_index.address | 934 |
| abstract_inverted_index.adopted | 1172 |
| abstract_inverted_index.advance | 1167 |
| abstract_inverted_index.adverse | 1263 |
| abstract_inverted_index.against | 786 |
| abstract_inverted_index.agency, | 522 |
| abstract_inverted_index.alleges | 1018 |
| abstract_inverted_index.already | 692, 1269 |
| abstract_inverted_index.assault | 502 |
| abstract_inverted_index.attack. | 497 |
| abstract_inverted_index.balance | 1420 |
| abstract_inverted_index.because | 330, 893, 1008, 1370 |
| abstract_inverted_index.between | 572 |
| abstract_inverted_index.caring. | 1390 |
| abstract_inverted_index.caution | 36 |
| abstract_inverted_index.century | 43 |
| abstract_inverted_index.changed | 1090 |
| abstract_inverted_index.child's | 1118 |
| abstract_inverted_index.clarify | 936 |
| abstract_inverted_index.clearly | 996 |
| abstract_inverted_index.closely | 829 |
| abstract_inverted_index.cohorts | 434 |
| abstract_inverted_index.compete | 294 |
| abstract_inverted_index.concern | 749 |
| abstract_inverted_index.consent | 371, 458 |
| abstract_inverted_index.control | 509, 1104 |
| abstract_inverted_index.created | 693, 1304 |
| abstract_inverted_index.creates | 956 |
| abstract_inverted_index.current | 937 |
| abstract_inverted_index.deserve | 1571 |
| abstract_inverted_index.details | 272 |
| abstract_inverted_index.develop | 835 |
| abstract_inverted_index.digital | 489, 573, 589, 836, 903, 1067, 1284, 1319, 1371, 1422 |
| abstract_inverted_index.doctors | 1593 |
| abstract_inverted_index.feeling | 518 |
| abstract_inverted_index.fields. | 56 |
| abstract_inverted_index.forward | 716 |
| abstract_inverted_index.further | 702 |
| abstract_inverted_index.gathers | 1037 |
| abstract_inverted_index.general | 1156 |
| abstract_inverted_index.health, | 96, 1262 |
| abstract_inverted_index.health. | 1560 |
| abstract_inverted_index.history | 251 |
| abstract_inverted_index.hurting | 741 |
| abstract_inverted_index.improve | 126, 564 |
| abstract_inverted_index.lacking | 288, 521 |
| abstract_inverted_index.lasting | 492 |
| abstract_inverted_index.leaving | 491, 1472 |
| abstract_inverted_index.lessons | 20 |
| abstract_inverted_index.linking | 971 |
| abstract_inverted_index.medical | 115, 250, 266, 1308 |
| abstract_inverted_index.million | 777 |
| abstract_inverted_index.misuse, | 989 |
| abstract_inverted_index.misused | 869 |
| abstract_inverted_index.offline | 339 |
| abstract_inverted_index.opined, | 4 |
| abstract_inverted_index.parents | 1063, 1077 |
| abstract_inverted_index.patient | 941, 944 |
| abstract_inverted_index.perils, | 1161 |
| abstract_inverted_index.police, | 1245 |
| abstract_inverted_index.prevent | 1216 |
| abstract_inverted_index.privacy | 318, 424, 582, 1123, 1128 |
| abstract_inverted_index.private | 513 |
| abstract_inverted_index.process | 1189 |
| abstract_inverted_index.profit. | 311 |
| abstract_inverted_index.promise | 88, 960, 1165 |
| abstract_inverted_index.records | 405, 490 |
| abstract_inverted_index.safety, | 540 |
| abstract_inverted_index.science | 103, 132, 155, 824 |
| abstract_inverted_index.several | 558 |
| abstract_inverted_index.sharing | 363, 378, 1060 |
| abstract_inverted_index.spaces. | 982 |
| abstract_inverted_index.special | 72 |
| abstract_inverted_index.subject | 1565 |
| abstract_inverted_index.support | 94 |
| abstract_inverted_index.systems | 534 |
| abstract_inverted_index.thereby | 523 |
| abstract_inverted_index.threats | 579 |
| abstract_inverted_index.through | 1186 |
| abstract_inverted_index.today's | 1094 |
| abstract_inverted_index.treated | 460 |
| abstract_inverted_index.welcome | 1548 |
| abstract_inverted_index.whereas | 337 |
| abstract_inverted_index.wisely" | 16 |
| abstract_inverted_index.without | 367 |
| abstract_inverted_index.wrecked | 388 |
| abstract_inverted_index."Weapons | 672 |
| abstract_inverted_index.'Project | 1035 |
| abstract_inverted_index.Bridging | 1317 |
| abstract_inverted_index.Consider | 240 |
| abstract_inverted_index.Download | 1509 |
| abstract_inverted_index.Google's | 262, 1034 |
| abstract_inverted_index.Identity | 383 |
| abstract_inverted_index.Internet | 447 |
| abstract_inverted_index.Martin's | 1251 |
| abstract_inverted_index.Matheny, | 1609 |
| abstract_inverted_index.Medicine | 1179 |
| abstract_inverted_index.National | 628, 1176, 1617 |
| abstract_inverted_index.Parents' | 1101 |
| abstract_inverted_index.Promise, | 625, 1499, 1647 |
| abstract_inverted_index.Scholar, | 1297, 1314 |
| abstract_inverted_index.Scholar] | 1255 |
| abstract_inverted_index.Thadaney | 608, 1607 |
| abstract_inverted_index.Verghese | 873, 1225 |
| abstract_inverted_index.[[3]Rowe | 172 |
| abstract_inverted_index.accessed | 256 |
| abstract_inverted_index.applying | 207, 597 |
| abstract_inverted_index.assault, | 484 |
| abstract_inverted_index.autonomy | 222 |
| abstract_inverted_index.behavior | 964 |
| abstract_inverted_index.benefits | 1605 |
| abstract_inverted_index.blogging | 1088 |
| abstract_inverted_index.breaches | 425 |
| abstract_inverted_index.building | 949, 1439 |
| abstract_inverted_index.business | 1208, 1394 |
| abstract_inverted_index.century. | 24 |
| abstract_inverted_index.children | 1082, 1095, 1109 |
| abstract_inverted_index.clause), | 419 |
| abstract_inverted_index.clerical | 1595 |
| abstract_inverted_index.clinical | 577 |
| abstract_inverted_index.collects | 896 |
| abstract_inverted_index.computer | 112, 154, 823 |
| abstract_inverted_index.consent, | 918, 986 |
| abstract_inverted_index.consumer | 301, 897 |
| abstract_inverted_index.created, | 336 |
| abstract_inverted_index.creating | 398 |
| abstract_inverted_index.criteria | 1209 |
| abstract_inverted_index.crucial. | 239 |
| abstract_inverted_index.delivers | 1367 |
| abstract_inverted_index.delivery | 1476 |
| abstract_inverted_index.deployed | 687, 774 |
| abstract_inverted_index.describe | 557 |
| abstract_inverted_index.devising | 1484, 1541 |
| abstract_inverted_index.economic | 1301 |
| abstract_inverted_index.emerging | 159 |
| abstract_inverted_index.ensuring | 842 |
| abstract_inverted_index.example, | 77, 757 |
| abstract_inverted_index.existing | 1411 |
| abstract_inverted_index.experts) | 1195 |
| abstract_inverted_index.explores | 199 |
| abstract_inverted_index.forming. | 343 |
| abstract_inverted_index.governed | 230, 409 |
| abstract_inverted_index.guidance | 369 |
| abstract_inverted_index.helpless | 519 |
| abstract_inverted_index.identity | 1068 |
| abstract_inverted_index.improper | 754 |
| abstract_inverted_index.includes | 268 |
| abstract_inverted_index.informed | 468 |
| abstract_inverted_index.interest | 73, 1119 |
| abstract_inverted_index.internet | 401 |
| abstract_inverted_index.lifetime | 283 |
| abstract_inverted_index.measured | 1450 |
| abstract_inverted_index.medicine | 1396 |
| abstract_inverted_index.millions | 274, 1042 |
| abstract_inverted_index.minimize | 1398 |
| abstract_inverted_index.negative | 1149 |
| abstract_inverted_index.outcomes | 695, 968 |
| abstract_inverted_index.parents' | 1111 |
| abstract_inverted_index.patients | 778, 788 |
| abstract_inverted_index.personal | 317, 365, 508, 1038 |
| abstract_inverted_index.perverse | 1267 |
| abstract_inverted_index.pregnant | 436 |
| abstract_inverted_index.privacy, | 987 |
| abstract_inverted_index.products | 591, 951 |
| abstract_inverted_index.profile, | 1244 |
| abstract_inverted_index.promotes | 1552 |
| abstract_inverted_index.proposes | 970, 1196 |
| abstract_inverted_index.proxies. | 755 |
| abstract_inverted_index.racially | 784 |
| abstract_inverted_index.regional | 1288 |
| abstract_inverted_index.relevant | 39, 289, 638 |
| abstract_inverted_index.research | 732 |
| abstract_inverted_index.reserved | 1463 |
| abstract_inverted_index.science, | 113 |
| abstract_inverted_index.scrutiny | 1568 |
| abstract_inverted_index.societal | 1528 |
| abstract_inverted_index.solution | 1349 |
| abstract_inverted_index.training | 655 |
| abstract_inverted_index.workers. | 1596 |
| abstract_inverted_index."Google's | 1025 |
| abstract_inverted_index."transfer | 248 |
| abstract_inverted_index.839Google | 1139 |
| abstract_inverted_index.Currently | 686 |
| abstract_inverted_index.Described | 1057 |
| abstract_inverted_index.Guardian, | 278, 392 |
| abstract_inverted_index.Medicine, | 631 |
| abstract_inverted_index.Newshour. | 744 |
| abstract_inverted_index.Scholar]. | 30, 148, 196, 280, 394, 456, 634, 685, 747, 821, 885, 915, 1049, 1140, 1335, 1364, 1602 |
| abstract_inverted_index.Whicher's | 1611 |
| abstract_inverted_index.accessed: | 1293, 1310 |
| abstract_inverted_index.addition, | 1274 |
| abstract_inverted_index.algorithm | 773, 806 |
| abstract_inverted_index.assessing | 860 |
| abstract_inverted_index.behavior, | 302 |
| abstract_inverted_index.bullying, | 483 |
| abstract_inverted_index.carefully | 90 |
| abstract_inverted_index.centering | 233 |
| abstract_inverted_index.childhood | 530, 1264 |
| abstract_inverted_index.children. | 1056 |
| abstract_inverted_index.coediting | 1633 |
| abstract_inverted_index.coeditors | 1614 |
| abstract_inverted_index.cognitive | 108 |
| abstract_inverted_index.computers | 1355 |
| abstract_inverted_index.concierge | 1470 |
| abstract_inverted_index.conundrum | 1054 |
| abstract_inverted_index.currently | 1378 |
| abstract_inverted_index.deployed; | 858 |
| abstract_inverted_index.deploying | 1441, 1486, 1543 |
| abstract_inverted_index.equitable | 234, 320, 1429, 1538 |
| abstract_inverted_index.expertise | 106, 1026 |
| abstract_inverted_index.forgotten | 418 |
| abstract_inverted_index.framework | 1201 |
| abstract_inverted_index.fugitive: | 382 |
| abstract_inverted_index.graduated | 221 |
| abstract_inverted_index.high-tech | 1242 |
| abstract_inverted_index.improving | 1425, 1558 |
| abstract_inverted_index.inclusion | 321 |
| abstract_inverted_index.inclusive | 236 |
| abstract_inverted_index.inventing | 11 |
| abstract_inverted_index.involving | 1190 |
| abstract_inverted_index.iterative | 1188 |
| abstract_inverted_index.landscape | 1092 |
| abstract_inverted_index.medicine, | 110, 1471 |
| abstract_inverted_index.monetizes | 900 |
| abstract_inverted_index.outcomes. | 1272 |
| abstract_inverted_index.permanent | 400, 488 |
| abstract_inverted_index.platforms | 478 |
| abstract_inverted_index.potential | 313, 374, 988, 1408 |
| abstract_inverted_index.pragmatic | 346 |
| abstract_inverted_index.privilege | 1468 |
| abstract_inverted_index.property. | 958 |
| abstract_inverted_index.quintuple | 1436 |
| abstract_inverted_index.recommend | 1432 |
| abstract_inverted_index.reduction | 506 |
| abstract_inverted_index.research, | 954 |
| abstract_inverted_index.resources | 792 |
| abstract_inverted_index.scrutiny, | 1550 |
| abstract_inverted_index.security, | 584 |
| abstract_inverted_index.sensitive | 511 |
| abstract_inverted_index.targeting | 300 |
| abstract_inverted_index.(available | 1650 |
| abstract_inverted_index.(developed | 1185 |
| abstract_inverted_index.2012Google | 393 |
| abstract_inverted_index.2018Google | 1601 |
| abstract_inverted_index.2019).View | 1502 |
| abstract_inverted_index.2019Google | 279 |
| abstract_inverted_index.2020Google | 1296, 1313 |
| abstract_inverted_index.2Quintuple | 1481 |
| abstract_inverted_index.Artificial | 176, 615, 1352 |
| abstract_inverted_index.Automating | 1239 |
| abstract_inverted_index.Cambridge, | 1362 |
| abstract_inverted_index.Children's | 1127 |
| abstract_inverted_index.Commentary | 198, 1604 |
| abstract_inverted_index.Dissecting | 801 |
| abstract_inverted_index.Giovanelli | 81 |
| abstract_inverted_index.Humanizing | 875, 1227 |
| abstract_inverted_index.Leveraging | 123 |
| abstract_inverted_index.Medicine's | 1620 |
| abstract_inverted_index.Otherwise, | 544 |
| abstract_inverted_index.Protection | 413 |
| abstract_inverted_index.University | 1003 |
| abstract_inverted_index.[[1]Hariri | 17 |
| abstract_inverted_index.[[6]Sarker | 426 |
| abstract_inverted_index.addressed. | 997 |
| abstract_inverted_index.adolescent | 63, 95, 181 |
| abstract_inverted_index.adulthood. | 1084 |
| abstract_inverted_index.adversity. | 531 |
| abstract_inverted_index.analysis.J | 445 |
| abstract_inverted_index.artificial | 45, 876, 1228, 1624 |
| abstract_inverted_index.challenges | 559, 595 |
| abstract_inverted_index.children's | 1066 |
| abstract_inverted_index.contribute | 152 |
| abstract_inverted_index.conundrums | 1146 |
| abstract_inverted_index.delivered. | 1454 |
| abstract_inverted_index.difficulty | 586 |
| abstract_inverted_index.disclosing | 246 |
| abstract_inverted_index.documented | 605 |
| abstract_inverted_index.education, | 355, 978 |
| abstract_inverted_index.efficiency | 1212 |
| abstract_inverted_index.especially | 473 |
| abstract_inverted_index.everyone's | 742 |
| abstract_inverted_index.exacerbate | 1410 |
| abstract_inverted_index.exception, | 61 |
| abstract_inverted_index.explicitly | 1433 |
| abstract_inverted_index.framework, | 1536 |
| abstract_inverted_index.governance | 992 |
| abstract_inverted_index.health.PBS | 743 |
| abstract_inverted_index.high-value | 588 |
| abstract_inverted_index.identities | 333, 340 |
| abstract_inverted_index.incentives | 1268, 1302 |
| abstract_inverted_index.inclusion, | 1539 |
| abstract_inverted_index.increasing | 420 |
| abstract_inverted_index.inequities | 1278, 1290, 1412 |
| abstract_inverted_index.innovative | 1421 |
| abstract_inverted_index.inspecting | 830 |
| abstract_inverted_index.integrated | 1522, 1583 |
| abstract_inverted_index.leveraging | 91, 304, 561 |
| abstract_inverted_index.life-long, | 399 |
| abstract_inverted_index.measurable | 1379 |
| abstract_inverted_index.monetized. | 928 |
| abstract_inverted_index.permanence | 471 |
| abstract_inverted_index.permitting | 1392 |
| abstract_inverted_index.population | 843, 1559 |
| abstract_inverted_index.pressures, | 347 |
| abstract_inverted_index.preventive | 180 |
| abstract_inverted_index.prioritize | 536 |
| abstract_inverted_index.proverbial | 1343 |
| abstract_inverted_index.regulatory | 1549 |
| abstract_inverted_index.robustness | 657 |
| abstract_inverted_index.safeguards | 290 |
| abstract_inverted_index.solutions. | 1544 |
| abstract_inverted_index.technology | 124, 353, 359 |
| abstract_inverted_index.troubling. | 474 |
| abstract_inverted_index.underlying | 839 |
| abstract_inverted_index.unintended | 314, 861, 1217 |
| abstract_inverted_index.university | 1010 |
| abstract_inverted_index.upbringing | 1106 |
| abstract_inverted_index.vulnerable | 286, 329 |
| abstract_inverted_index."Technology | 1561 |
| abstract_inverted_index."automating | 1220 |
| abstract_inverted_index.18Rosenthal | 1298 |
| abstract_inverted_index.Garbage-In, | 826 |
| abstract_inverted_index.Healthcare: | 1493, 1641 |
| abstract_inverted_index.Nightingale | 243 |
| abstract_inverted_index.Sharenting: | 1126 |
| abstract_inverted_index.Washington, | 632 |
| abstract_inverted_index.[[13]Zuboff | 905 |
| abstract_inverted_index.[[5]McVeigh | 379 |
| abstract_inverted_index.[[7]Matheny | 606 |
| abstract_inverted_index.[[8]O'Neill | 676 |
| abstract_inverted_index.adolescents | 171 |
| abstract_inverted_index.algorithms, | 659 |
| abstract_inverted_index.capitalism" | 887 |
| abstract_inverted_index.capitalism, | 645 |
| abstract_inverted_index.capitalism. | 911 |
| abstract_inverted_index.care.Lancet | 1323 |
| abstract_inverted_index.challenging | 890 |
| abstract_inverted_index.coauthoring | 1631 |
| abstract_inverted_index.development | 847 |
| abstract_inverted_index.disclosures | 1076 |
| abstract_inverted_index.exacerbated | 703 |
| abstract_inverted_index.identifying | 587 |
| abstract_inverted_index.inequality" | 1221 |
| abstract_inverted_index.inequality: | 1240 |
| abstract_inverted_index.influencing | 962 |
| abstract_inverted_index.informatics | 116 |
| abstract_inverted_index.information | 366 |
| abstract_inverted_index.initiative. | 1291 |
| abstract_inverted_index.media.Emory | 1134 |
| abstract_inverted_index.minorities, | 697 |
| abstract_inverted_index.parenting," | 1062 |
| abstract_inverted_index.particular, | 476 |
| abstract_inverted_index.perspective | 156 |
| abstract_inverted_index.populations | 287 |
| abstract_inverted_index.prioritized | 1452 |
| abstract_inverted_index.probability | 422 |
| abstract_inverted_index.psychology, | 111 |
| abstract_inverted_index.publication | 1180 |
| abstract_inverted_index.questioning | 838 |
| abstract_inverted_index.sharenting. | 647 |
| abstract_inverted_index.significant | 549 |
| abstract_inverted_index.staggering. | 323 |
| abstract_inverted_index.supplement, | 80 |
| abstract_inverted_index.technology, | 1515 |
| abstract_inverted_index.themselves. | 1074 |
| abstract_inverted_index.unethically | 927 |
| abstract_inverted_index.unwittingly | 397 |
| abstract_inverted_index.well-being. | 1157 |
| abstract_inverted_index."Sharenting" | 1050 |
| abstract_inverted_index.DC2019Google | 633 |
| abstract_inverted_index.Destruction" | 675 |
| abstract_inverted_index.Garbage-Out, | 827 |
| abstract_inverted_index.Intelligence | 616 |
| abstract_inverted_index.Mullainathan | 799 |
| abstract_inverted_index.Nightingale' | 1036 |
| abstract_inverted_index.Prioritizing | 1205 |
| abstract_inverted_index.Publication: | 1638 |
| abstract_inverted_index.Regulation's | 414 |
| abstract_inverted_index.[[9]Nordling | 711 |
| abstract_inverted_index.adolescence: | 129 |
| abstract_inverted_index.care.Nature. | 721 |
| abstract_inverted_index.consequences | 315, 862, 1218 |
| abstract_inverted_index.constituting | 524 |
| abstract_inverted_index.deidentified | 1012 |
| abstract_inverted_index.destruction. | 681 |
| abstract_inverted_index.determinants | 1260 |
| abstract_inverted_index.development, | 109 |
| abstract_inverted_index.digitizable, | 1381 |
| abstract_inverted_index.disregarding | 1382 |
| abstract_inverted_index.e361Crossref | 451 |
| abstract_inverted_index.expectations | 942 |
| abstract_inverted_index.experiences, | 1265 |
| abstract_inverted_index.healthcare.J | 182 |
| abstract_inverted_index.historically | 667 |
| abstract_inverted_index.implementing | 1203 |
| abstract_inverted_index.implications | 375, 1150 |
| abstract_inverted_index.inclusivity. | 1430 |
| abstract_inverted_index.information) | 514 |
| abstract_inverted_index.intellectual | 957 |
| abstract_inverted_index.intelligence | 46, 177, 1625 |
| abstract_inverted_index.legislation, | 939 |
| abstract_inverted_index.necessitates | 828 |
| abstract_inverted_index.particularly | 889 |
| abstract_inverted_index.personalized | 179 |
| abstract_inverted_index.perspective, | 1144 |
| abstract_inverted_index.population's | 215 |
| abstract_inverted_index.preventative | 565 |
| abstract_inverted_index.prioritizing | 790, 1537 |
| abstract_inverted_index.proliferated | 53 |
| abstract_inverted_index.regulations, | 938 |
| abstract_inverted_index.reidentified | 1023 |
| abstract_inverted_index.surveillance | 443, 644, 910 |
| abstract_inverted_index.technologies | 161, 1276, 1423, 1556 |
| abstract_inverted_index.thoughtfully | 1521 |
| abstract_inverted_index.underscoring | 97 |
| abstract_inverted_index."Surveillance | 886 |
| abstract_inverted_index.29-30Crossref | 880, 1232 |
| abstract_inverted_index.Chandrashekar | 428 |
| abstract_inverted_index.[[12]Thadaney | 870, 1222 |
| abstract_inverted_index.[[14]Copeland | 1032 |
| abstract_inverted_index.[[21]Verghese | 1587 |
| abstract_inverted_index.bidirectional | 469 |
| abstract_inverted_index.corresponding | 505 |
| abstract_inverted_index.developmental | 102, 131 |
| abstract_inverted_index.dysfunctional | 1306 |
| abstract_inverted_index.environmental | 976 |
| abstract_inverted_index.game-changing | 1514 |
| abstract_inverted_index.incorporating | 1434 |
| abstract_inverted_index.interventions | 169 |
| abstract_inverted_index.misunderstand | 1356 |
| abstract_inverted_index.opportunities | 164, 493 |
| abstract_inverted_index.organizations | 293 |
| abstract_inverted_index.personalizing | 166 |
| abstract_inverted_index.perspective.J | 133 |
| abstract_inverted_index.psychological | 550, 1143 |
| abstract_inverted_index.surveillance, | 977 |
| abstract_inverted_index.technological | 477 |
| abstract_inverted_index.transactional | 1368 |
| abstract_inverted_index.whistleblower | 244 |
| abstract_inverted_index.Americans.Wall | 1044 |
| abstract_inverted_index.Mass2019Google | 1363 |
| abstract_inverted_index.PublicAffairs, | 912 |
| abstract_inverted_index.S7-S13Abstract | 138 |
| abstract_inverted_index.ViewerDownload | 1506 |
| abstract_inverted_index.York2018Google | 29, 684 |
| abstract_inverted_index.York2019Google | 914, 1254 |
| abstract_inverted_index.[[11]Obermeyer | 793 |
| abstract_inverted_index.[[15]Steinberg | 1124 |
| abstract_inverted_index.[[20]Broussard | 1350 |
| abstract_inverted_index.[[2]Giovanelli | 117 |
| abstract_inverted_index.[[4]Pilkington | 260 |
| abstract_inverted_index.aforementioned | 1160 |
| abstract_inverted_index.al.Discovering | 433 |
| abstract_inverted_index.appropriately. | 1173 |
| abstract_inverted_index.checkbox—and | 464 |
| abstract_inverted_index.collaboration, | 537 |
| abstract_inverted_index.communication, | 539 |
| abstract_inverted_index.discriminatory | 694 |
| abstract_inverted_index.human-centered | 1387 |
| abstract_inverted_index.process—this | 470 |
| abstract_inverted_index.transformative | 1383 |
| abstract_inverted_index.traumatization | 528 |
| abstract_inverted_index.victimization, | 486 |
| abstract_inverted_index.vulnerability, | 216 |
| abstract_inverted_index.whistleblower. | 276 |
| abstract_inverted_index.447-453Crossref | 816 |
| abstract_inverted_index.S52-S58Abstract | 187 |
| abstract_inverted_index.appropriateness | 849 |
| abstract_inverted_index.characteristics | 499 |
| abstract_inverted_index.kiosk-dispensed | 1473 |
| abstract_inverted_index.responsibility. | 543 |
| abstract_inverted_index.tech-savviness, | 326 |
| abstract_inverted_index.unintelligence: | 1353 |
| abstract_inverted_index.disconnectedness | 571 |
| abstract_inverted_index.multistakeholder | 1192 |
| abstract_inverted_index.patient-provided | 924 |
| abstract_inverted_index.profit-motivated | 292, 950 |
| abstract_inverted_index.technology-based | 167, 501 |
| abstract_inverted_index."Technochauvinim" | 1336 |
| abstract_inverted_index.S103-S105Crossref | 724 |
| abstract_inverted_index.Scholar,[10]Stein | 729 |
| abstract_inverted_index.e204-e205Abstract | 1328 |
| abstract_inverted_index.heteronormativity | 709 |
| abstract_inverted_index.multidisciplinary | 101 |
| abstract_inverted_index.privileged.Figure | 1480 |
| abstract_inverted_index.human-centeredness | 1206 |
| abstract_inverted_index.intelligence.JAMA. | 877, 1229 |
| abstract_inverted_index.representativeness | 844 |
| abstract_inverted_index.Scholar,[16]Eubanks | 1237 |
| abstract_inverted_index.populations.Science. | 813 |
| abstract_inverted_index.interventions.(source: | 1489 |
| abstract_inverted_index.population-representative | 664 |
| abstract_inverted_index.Framework.http://barhii.org/framework/Date | 1292 |
| abstract_inverted_index.https://aboutdigitalhealth.com/2019/12/18/report-ai-in-healthcare-the-hope-the-hype-the-promise-the-peril/). | 1652 |
| abstract_inverted_index.market.https://medium.com/@RosenthalHealth/how-economic-incentives-have-created-our-dysfunctional-us-medical-market-b681c51d6436Date | 1309 |
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