Jane Kim
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View article: Study protocol for a randomized trial examining a peer grief support approach for people grieving drug overdose deaths
Study protocol for a randomized trial examining a peer grief support approach for people grieving drug overdose deaths Open
View article: Correction to: Development and validation of a pragmatic measure of context at the organizational level: the Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS)
Correction to: Development and validation of a pragmatic measure of context at the organizational level: the Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS) Open
View article: Direct long-read visualization reveals hidden variation in GCH1 gene copy number and precise expansion steps
Direct long-read visualization reveals hidden variation in GCH1 gene copy number and precise expansion steps Open
We identified previously undetected heterogeneity in gene copy number by viewing long pieces of DNA from individual genomes. This approach was possible due to the amplicon's tandem orientation and relatively small size that can be spanned …
View article: Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review
Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review Open
View article: Information, collaboration, regulation: Physician and AI researcher views on ethical considerations in clinical AI integration
Information, collaboration, regulation: Physician and AI researcher views on ethical considerations in clinical AI integration Open
Due to the potential scope and impact of artificial intelligence’s (AI's) adoption in medicine, a comprehensive assessment of the potential ethical considerations arising during clinical integration is needed. Existing ethical frameworks a…
View article: The clinical and socioeconomic aspects of t-cell receptor excision circle based newborn screening for severe combined immunodeficiency in Southeast and East Asia
The clinical and socioeconomic aspects of t-cell receptor excision circle based newborn screening for severe combined immunodeficiency in Southeast and East Asia Open
Severe Combined Immunodeficiency (SCID) is a widely underdiagnosed congenital disease that is fatal by 2-years old if left untreated. Most cases of SCID are diagnosed from the prompting of family history while other cases are sporadic and …
View article: Assessing the impact of AI on physician decision-making for mental health treatment in primary care
Assessing the impact of AI on physician decision-making for mental health treatment in primary care Open
AI models may soon be poised to recommend mental health treatments or referrals in primary care, yet little is known regarding their impact on physician decision-making. In this web-based study, primary care physicians (n = 420) were prese…
View article: 0543 Health and Sleep Outcomes in Triaged Stepped-Care for Insomnia: Secondary Outcomes from the RESTING Study
0543 Health and Sleep Outcomes in Triaged Stepped-Care for Insomnia: Secondary Outcomes from the RESTING Study Open
Introduction Given the worldwide shortage of providers trained to deliver cognitive behavior therapy for insomnia (CBT-I), digital CBT-I (dCBT-I) may increase access to CBT-I. Determining how best to allocate digital and therapist-led reso…
View article: 0544 Trajectories of Hypnotic Medication Use in a Triaged Stepped-Care CBT-I Trial for Insomnia: Results from the RESTING Study
0544 Trajectories of Hypnotic Medication Use in a Triaged Stepped-Care CBT-I Trial for Insomnia: Results from the RESTING Study Open
Introduction Previous research has demonstrated that patients with insomnia disorder who use hypnotic medication and engage in cognitive behavioral therapy for insomnia (CBT-I) decrease or eliminate prescription hypnotic medication use in …
View article: 0594 Effects of a Triaged CBTI Approach Using Digital or Therapist Delivery on Prescription Hypnotic Use: Results from the RESTING Study
0594 Effects of a Triaged CBTI Approach Using Digital or Therapist Delivery on Prescription Hypnotic Use: Results from the RESTING Study Open
Introduction Use of prescription hypnotic medications and the negative impacts of their use increase in older age. This study aimed to compare the effects of two delivery strategies for CBT-I on prescription medication use among adults age…
View article: 0004 Melatonin–sleep Phase Angle Predicts Mortality in Women with Advanced Breast Cancer
0004 Melatonin–sleep Phase Angle Predicts Mortality in Women with Advanced Breast Cancer Open
Introduction Sleep disruptions are commonly observed in women with cancer. One of the hypothesized causes of such disruption is a diminished circadian clock amplitude. Imputation of circadian amplitude in women with cancer has been mainly …
View article: 0593 Investigating Behavior Change in Therapist-Led versus Digital CBT-I and Its Mediating Role on Clinical Outcomes
0593 Investigating Behavior Change in Therapist-Led versus Digital CBT-I and Its Mediating Role on Clinical Outcomes Open
Introduction This study analyzed data from a subset of participants from the RESTING Study who were previously shown have differential reduction in insomnia severity (ISI) following digital CBT-I (dCBT-I) or therapist delivered CBT-I (tCBT…
View article: Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study
Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study Open
Background The increasing use of direct-to-consumer artificial intelligence (AI)–enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capab…
View article: Development and validation of a pragmatic measure of context at the organizational level: The Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS)
Development and validation of a pragmatic measure of context at the organizational level: The Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS) Open
View article: Readiness evaluation for artificial intelligence-mental health deployment and implementation (READI): A review and proposed framework.
Readiness evaluation for artificial intelligence-mental health deployment and implementation (READI): A review and proposed framework. Open
While generative artificial intelligence (AI) may lead to technological advances in the mental health field, it poses safety risks for mental health service consumers. Furthermore, clinicians and healthcare systems must attend to safety an…
View article: Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework
Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework Open
While generative artificial intelligence (AI) may lead to technological advances in the mental health field, it poses safety risks for mental health service consumers. Furthermore, clinicians and healthcare systems must attend to safety an…
View article: A Secondary Analysis Suggests That Repetitive Transcranial Magnetic Stimulation Applied to the Left Dorsolateral Prefrontal Cortex Reduces Cue-Induced-Craving in Treatment Seeking Participants with Cannabis Use Disorder
A Secondary Analysis Suggests That Repetitive Transcranial Magnetic Stimulation Applied to the Left Dorsolateral Prefrontal Cortex Reduces Cue-Induced-Craving in Treatment Seeking Participants with Cannabis Use Disorder Open
Background Studies across multiple addictions have suggested that repetitive transcranial magnetic stimulation (rTMS) applied to the left dorsolateral prefrontal cortex (L-DLPFC) reduces cue-induced-craving (CIC), however there are no stud…
View article: The effects of a sleep intervention in the early COVID-19 pandemic on insomnia and depressive symptoms: Results of a randomized controlled pilot study
The effects of a sleep intervention in the early COVID-19 pandemic on insomnia and depressive symptoms: Results of a randomized controlled pilot study Open
The COVID-19 Pandemic increased the prevalence and severity of insomnia and depression symptoms. The effects of an insomnia intervention on future insomnia and depression symptoms delivered during an ongoing stressor, which may have precip…
View article: Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study
Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study Open
Background It is increasingly recognised that the success of artificial intelligence-based clinical decision support (AI/CDS) tools will depend on physician and patient trust, but factors impacting patients’ views on clinical care reliant …
View article: A study of the evolution and challenges of the ethics of killing in war
A study of the evolution and challenges of the ethics of killing in war Open
Even today, warfare reoccurs in most regions of the globe. However, even when international law is formally recognized, it is often flouted. This means that there is no universally accepted moral template for warfare in the present century…
View article: Effects of a Digital Therapeutic Adjunct to Eating Disorder Treatment on Health Care Service Utilization and Clinical Outcomes: Retrospective Observational Study Using Electronic Health Records
Effects of a Digital Therapeutic Adjunct to Eating Disorder Treatment on Health Care Service Utilization and Clinical Outcomes: Retrospective Observational Study Using Electronic Health Records Open
Background The need for scalable solutions facilitating access to eating disorder (ED) treatment services that are efficient, effective, and inclusive is a major public health priority. Remote access to synchronous and asynchronous support…
View article: Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study (Preprint)
Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study (Preprint) Open
BACKGROUND The increasing use of direct-to-consumer artificial intelligence (AI)–enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capa…
View article: A novel experimental vignette methodology: SMART vignettes
A novel experimental vignette methodology: SMART vignettes Open
We motivate and present the methodology of vignette studies. The primary contribution of this paper is our proposal of a novel vignette study design: “SMART vignettes.” Our design has two notable features: the first is its use of sequentia…
View article: Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework
Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework Open
While generative artificial intelligence (AI) may lead to technological advances in the mental health field, it poses safety risks for mental health service consumers. Furthermore, clinicians and healthcare systems must attend to safety an…
View article: Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework
Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework Open
While generative artificial intelligence (AI) may lead to technological advances in the mental health field, it poses safety risks for mental health service consumers. Furthermore, clinicians and healthcare systems must attend to safety an…
View article: Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study
Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study Open
Background As the availability and performance of artificial intelligence (AI)–based clinical decision support (CDS) systems improve, physicians and other care providers poised to be on the front lines will be increasingly tasked with usin…
View article: Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study Open
Objectives We set out to describe academic machine learning (ML) researchers’ ethical considerations regarding the development of ML tools intended for use in clinical care. Materials and Methods We conducted in-depth, semistructured inter…
View article: Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study (Preprint)
Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study (Preprint) Open
BACKGROUND As the availability and performance of artificial intelligence (AI)–based clinical decision support (CDS) systems improve, physicians and other care providers poised to be on the front lines will be increasingly tasked with usi…
View article: A preliminary randomized controlled trial of repetitive transcranial magnetic stimulation applied to the left dorsolateral prefrontal cortex in treatment seeking participants with cannabis use disorder
A preliminary randomized controlled trial of repetitive transcranial magnetic stimulation applied to the left dorsolateral prefrontal cortex in treatment seeking participants with cannabis use disorder Open
View article: Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study
Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study Open
Background Innovative tools leveraging artificial intelligence (AI) and machine learning (ML) are rapidly being developed for medicine, with new applications emerging in prediction, diagnosis, and treatment across a range of illnesses, pat…