Transforming Healthcare: The Role of Artificial Intelligence Article Swipe
Azam Aslani
,
Omid Pournik
,
Saadullah Farooq Abbasi
,
Theodoros N. Arvanitis
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3233/shti250625
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3233/shti250625
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by enhancing diagnostic accuracy, personalising treatment strategies, and improving administrative efficiency. This study aims to evaluate the impact of AI interventions on health outcomes across various medical applications. A scoping review was conducted using relevant search terms, focusing exclusively on interventional studies measuring AI’s effectiveness on health outcomes. The review analysed 30 clinical trials, including behavioural interventions, stroke rehabilitation, sepsis prediction, dental caries, and venous thromboembolism. The findings indicate that AI significantly improves adherence to healthy behaviours and enhances engagement in self-monitoring activities, has effective predictive capabilities, particularly in sepsis risk assessment, and demonstrates high accuracy in melanoma detection. However, AI-driven clinical decision support systems did not increase prophylaxis rates for venous thromboembolism or significantly improve motor function, cognition, or quality of life in Parkinson’s disease patients. In summary, this review highlights the substantial potential of AI across various healthcare domains. The evidence suggests that AI improves adherence to interventions, enhances healthcare delivery efficiency, facilitates effective disease management, and increases diagnostic accuracy. Continued exploration of AI applications in healthcare is crucial for optimising patient outcomes and addressing implementation challenges within clinical practice.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3233/shti250625
- https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625
- OA Status
- hybrid
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410447527
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4410447527Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3233/shti250625Digital Object Identifier
- Title
-
Transforming Healthcare: The Role of Artificial IntelligenceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-15Full publication date if available
- Authors
-
Azam Aslani, Omid Pournik, Saadullah Farooq Abbasi, Theodoros N. ArvanitisList of authors in order
- Landing page
-
https://doi.org/10.3233/shti250625Publisher landing page
- PDF URL
-
https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625Direct OA link when available
- Concepts
-
Health care, Computer science, Artificial intelligence, Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4410447527 |
|---|---|
| doi | https://doi.org/10.3233/shti250625 |
| ids.doi | https://doi.org/10.3233/shti250625 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40380728 |
| ids.openalex | https://openalex.org/W4410447527 |
| fwci | 16.20149213 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D001185 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Artificial Intelligence |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D006801 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Humans |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D003695 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Delivery of Health Care |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D020000 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Decision Support Systems, Clinical |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D006801 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Humans |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D001185 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Artificial Intelligence |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D020000 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Decision Support Systems, Clinical |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D003695 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Delivery of Health Care |
| type | article |
| title | Transforming Healthcare: The Role of Artificial Intelligence |
| biblio.issue | |
| biblio.volume | 327 |
| biblio.last_page | 1367 |
| biblio.first_page | 1363 |
| topics[0].id | https://openalex.org/T12935 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.4657999873161316 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2713 |
| topics[0].subfield.display_name | Epidemiology |
| topics[0].display_name | Healthcare Systems and Public Health |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C160735492 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6389164924621582 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q31207 |
| concepts[0].display_name | Health care |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.47752419114112854 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4366368055343628 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C17744445 |
| concepts[3].level | 0 |
| concepts[3].score | 0.14227110147476196 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[3].display_name | Political science |
| concepts[4].id | https://openalex.org/C199539241 |
| concepts[4].level | 1 |
| concepts[4].score | 0.0 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[4].display_name | Law |
| keywords[0].id | https://openalex.org/keywords/health-care |
| keywords[0].score | 0.6389164924621582 |
| keywords[0].display_name | Health care |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.47752419114112854 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.4366368055343628 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/political-science |
| keywords[3].score | 0.14227110147476196 |
| keywords[3].display_name | Political science |
| language | en |
| locations[0].id | doi:10.3233/shti250625 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210179765 |
| locations[0].source.issn | 0926-9630, 1879-8365 |
| locations[0].source.type | book series |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0926-9630 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Studies in health technology and informatics |
| locations[0].source.host_organization | https://openalex.org/P4310318577 |
| locations[0].source.host_organization_name | IOS Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310318577 |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | book-chapter |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Studies in Health Technology and Informatics |
| locations[0].landing_page_url | https://doi.org/10.3233/shti250625 |
| locations[1].id | pmid:40380728 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Studies in health technology and informatics |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40380728 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5087942698 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4022-1038 |
| authorships[0].author.display_name | Azam Aslani |
| authorships[0].affiliations[0].raw_affiliation_string | Smart University of Medical Sciences, Tehran, Iran |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Azam Aslani |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Smart University of Medical Sciences, Tehran, Iran |
| authorships[1].author.id | https://openalex.org/A5067653515 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7938-0269 |
| authorships[1].author.display_name | Omid Pournik |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I79619799 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| authorships[1].institutions[0].id | https://openalex.org/I79619799 |
| authorships[1].institutions[0].ror | https://ror.org/03angcq70 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I79619799 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | University of Birmingham |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Omid Pournik |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| authorships[2].author.id | https://openalex.org/A5067603006 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9814-3023 |
| authorships[2].author.display_name | Saadullah Farooq Abbasi |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I79619799 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| authorships[2].institutions[0].id | https://openalex.org/I79619799 |
| authorships[2].institutions[0].ror | https://ror.org/03angcq70 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I79619799 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Birmingham |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Saadullah Farooq Abbasi |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| authorships[3].author.id | https://openalex.org/A5026657286 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5473-135X |
| authorships[3].author.display_name | Theodoros N. Arvanitis |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I79619799 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| authorships[3].institutions[0].id | https://openalex.org/I79619799 |
| authorships[3].institutions[0].ror | https://ror.org/03angcq70 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I79619799 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | University of Birmingham |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Theodoros N. Arvanitis |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Transforming Healthcare: The Role of Artificial Intelligence |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12935 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.4657999873161316 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2713 |
| primary_topic.subfield.display_name | Epidemiology |
| primary_topic.display_name | Healthcare Systems and Public Health |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3233/shti250625 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210179765 |
| best_oa_location.source.issn | 0926-9630, 1879-8365 |
| best_oa_location.source.type | book series |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0926-9630 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Studies in health technology and informatics |
| best_oa_location.source.host_organization | https://openalex.org/P4310318577 |
| best_oa_location.source.host_organization_name | IOS Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310318577 |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | book-chapter |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Studies in Health Technology and Informatics |
| best_oa_location.landing_page_url | https://doi.org/10.3233/shti250625 |
| primary_location.id | doi:10.3233/shti250625 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210179765 |
| primary_location.source.issn | 0926-9630, 1879-8365 |
| primary_location.source.type | book series |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0926-9630 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Studies in health technology and informatics |
| primary_location.source.host_organization | https://openalex.org/P4310318577 |
| primary_location.source.host_organization_name | IOS Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310318577 |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI250625 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | book-chapter |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Studies in Health Technology and Informatics |
| primary_location.landing_page_url | https://doi.org/10.3233/shti250625 |
| publication_date | 2025-05-15 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 40 |
| abstract_inverted_index.30 | 63 |
| abstract_inverted_index.AI | 31, 82, 148, 157, 177 |
| abstract_inverted_index.In | 139 |
| abstract_inverted_index.by | 12 |
| abstract_inverted_index.in | 92, 100, 108, 135, 179 |
| abstract_inverted_index.is | 8, 181 |
| abstract_inverted_index.of | 2, 30, 133, 147, 176 |
| abstract_inverted_index.on | 33, 51, 57 |
| abstract_inverted_index.or | 125, 131 |
| abstract_inverted_index.to | 26, 86, 160 |
| abstract_inverted_index.The | 0, 60, 78, 153 |
| abstract_inverted_index.and | 19, 75, 89, 104, 170, 187 |
| abstract_inverted_index.did | 117 |
| abstract_inverted_index.for | 122, 183 |
| abstract_inverted_index.has | 95 |
| abstract_inverted_index.not | 118 |
| abstract_inverted_index.the | 10, 28, 144 |
| abstract_inverted_index.was | 43 |
| abstract_inverted_index.(AI) | 5 |
| abstract_inverted_index.This | 23 |
| abstract_inverted_index.aims | 25 |
| abstract_inverted_index.high | 106 |
| abstract_inverted_index.into | 6 |
| abstract_inverted_index.life | 134 |
| abstract_inverted_index.risk | 102 |
| abstract_inverted_index.that | 81, 156 |
| abstract_inverted_index.this | 141 |
| abstract_inverted_index.motor | 128 |
| abstract_inverted_index.rates | 121 |
| abstract_inverted_index.study | 24 |
| abstract_inverted_index.using | 45 |
| abstract_inverted_index.AI’s | 55 |
| abstract_inverted_index.across | 36, 149 |
| abstract_inverted_index.dental | 73 |
| abstract_inverted_index.health | 34, 58 |
| abstract_inverted_index.impact | 29 |
| abstract_inverted_index.review | 42, 61, 142 |
| abstract_inverted_index.search | 47 |
| abstract_inverted_index.sepsis | 71, 101 |
| abstract_inverted_index.stroke | 69 |
| abstract_inverted_index.terms, | 48 |
| abstract_inverted_index.venous | 76, 123 |
| abstract_inverted_index.within | 191 |
| abstract_inverted_index.caries, | 74 |
| abstract_inverted_index.crucial | 182 |
| abstract_inverted_index.disease | 137, 168 |
| abstract_inverted_index.healthy | 87 |
| abstract_inverted_index.improve | 127 |
| abstract_inverted_index.medical | 38 |
| abstract_inverted_index.patient | 185 |
| abstract_inverted_index.quality | 132 |
| abstract_inverted_index.scoping | 41 |
| abstract_inverted_index.studies | 53 |
| abstract_inverted_index.support | 115 |
| abstract_inverted_index.systems | 116 |
| abstract_inverted_index.trials, | 65 |
| abstract_inverted_index.various | 37, 150 |
| abstract_inverted_index.However, | 111 |
| abstract_inverted_index.accuracy | 107 |
| abstract_inverted_index.analysed | 62 |
| abstract_inverted_index.clinical | 64, 113, 192 |
| abstract_inverted_index.decision | 114 |
| abstract_inverted_index.delivery | 164 |
| abstract_inverted_index.domains. | 152 |
| abstract_inverted_index.enhances | 90, 162 |
| abstract_inverted_index.evaluate | 27 |
| abstract_inverted_index.evidence | 154 |
| abstract_inverted_index.findings | 79 |
| abstract_inverted_index.focusing | 49 |
| abstract_inverted_index.improves | 84, 158 |
| abstract_inverted_index.increase | 119 |
| abstract_inverted_index.indicate | 80 |
| abstract_inverted_index.industry | 11 |
| abstract_inverted_index.melanoma | 109 |
| abstract_inverted_index.outcomes | 35, 186 |
| abstract_inverted_index.relevant | 46 |
| abstract_inverted_index.suggests | 155 |
| abstract_inverted_index.summary, | 140 |
| abstract_inverted_index.AI-driven | 112 |
| abstract_inverted_index.Continued | 174 |
| abstract_inverted_index.accuracy, | 15 |
| abstract_inverted_index.accuracy. | 173 |
| abstract_inverted_index.adherence | 85, 159 |
| abstract_inverted_index.conducted | 44 |
| abstract_inverted_index.effective | 96, 167 |
| abstract_inverted_index.enhancing | 13 |
| abstract_inverted_index.function, | 129 |
| abstract_inverted_index.improving | 20 |
| abstract_inverted_index.including | 66 |
| abstract_inverted_index.increases | 171 |
| abstract_inverted_index.measuring | 54 |
| abstract_inverted_index.outcomes. | 59 |
| abstract_inverted_index.patients. | 138 |
| abstract_inverted_index.potential | 146 |
| abstract_inverted_index.practice. | 193 |
| abstract_inverted_index.treatment | 17 |
| abstract_inverted_index.addressing | 188 |
| abstract_inverted_index.artificial | 3 |
| abstract_inverted_index.behaviours | 88 |
| abstract_inverted_index.challenges | 190 |
| abstract_inverted_index.cognition, | 130 |
| abstract_inverted_index.detection. | 110 |
| abstract_inverted_index.diagnostic | 14, 172 |
| abstract_inverted_index.engagement | 91 |
| abstract_inverted_index.healthcare | 7, 151, 163, 180 |
| abstract_inverted_index.highlights | 143 |
| abstract_inverted_index.optimising | 184 |
| abstract_inverted_index.predictive | 97 |
| abstract_inverted_index.activities, | 94 |
| abstract_inverted_index.assessment, | 103 |
| abstract_inverted_index.behavioural | 67 |
| abstract_inverted_index.efficiency, | 165 |
| abstract_inverted_index.efficiency. | 22 |
| abstract_inverted_index.exclusively | 50 |
| abstract_inverted_index.exploration | 175 |
| abstract_inverted_index.facilitates | 166 |
| abstract_inverted_index.integration | 1 |
| abstract_inverted_index.management, | 169 |
| abstract_inverted_index.prediction, | 72 |
| abstract_inverted_index.prophylaxis | 120 |
| abstract_inverted_index.strategies, | 18 |
| abstract_inverted_index.substantial | 145 |
| abstract_inverted_index.applications | 178 |
| abstract_inverted_index.demonstrates | 105 |
| abstract_inverted_index.intelligence | 4 |
| abstract_inverted_index.particularly | 99 |
| abstract_inverted_index.Parkinson’s | 136 |
| abstract_inverted_index.applications. | 39 |
| abstract_inverted_index.capabilities, | 98 |
| abstract_inverted_index.effectiveness | 56 |
| abstract_inverted_index.interventions | 32 |
| abstract_inverted_index.personalising | 16 |
| abstract_inverted_index.significantly | 83, 126 |
| abstract_inverted_index.administrative | 21 |
| abstract_inverted_index.implementation | 189 |
| abstract_inverted_index.interventional | 52 |
| abstract_inverted_index.interventions, | 68, 161 |
| abstract_inverted_index.rehabilitation, | 70 |
| abstract_inverted_index.revolutionising | 9 |
| abstract_inverted_index.self-monitoring | 93 |
| abstract_inverted_index.thromboembolism | 124 |
| abstract_inverted_index.thromboembolism. | 77 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.98166473 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |