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JMIR AI

Showing results (31-40 of 330) with videos related to

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JMIR AI|June 14, 2024
Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care OrganizationMuhammad Atif Waheed, Lu Liu
JMIR AI|June 14, 2024
Introducing JMIR AIKhaled El Emam, Bradley Malin
JMIR AI|June 14, 2024
Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective StudyArash Kia, James Waterson, Norma Bargary, et al.
JMIR AI|June 14, 2024
Health Care Professionals' and Parents' Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative StudyNicole Racine, Cheryl Chow, Lojain Hamwi, et al.
JMIR AI|June 14, 2024
Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab EmiratesHazem Lashen, Terrence Lee St John, Y Zaki Almallah, et al.
JMIR AI|June 14, 2024
Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning ModelAnne Bowers, Chelsea Drake, Alexi E Makarkin, et al.
JMIR AI|June 14, 2024
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi ApproachRachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, et al.
JMIR AI|June 14, 2024
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling StudyMatteo Malgaroli, Emily Tseng, Thomas D Hull, et al.
JMIR AI|June 14, 2024
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized ModelingTahsin Mullick, Sam Shaaban, Ana Radovic, et al.
JMIR AI|June 14, 2024
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative StudyMajdi Quttainah, Vinaytosh Mishra, Somayya Madakam, et al.
Pageof 33

Showing results (31-40 of 330) with videos related to

Sort By:
Pageof 33
JMIR AI|June 14, 2024
Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care OrganizationMuhammad Atif Waheed, Lu Liu
JMIR AI|June 14, 2024
Introducing JMIR AIKhaled El Emam, Bradley Malin
JMIR AI|June 14, 2024
Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective StudyArash Kia, James Waterson, Norma Bargary, et al.
JMIR AI|June 14, 2024
Health Care Professionals' and Parents' Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative StudyNicole Racine, Cheryl Chow, Lojain Hamwi, et al.
JMIR AI|June 14, 2024
Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab EmiratesHazem Lashen, Terrence Lee St John, Y Zaki Almallah, et al.
JMIR AI|June 14, 2024
Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning ModelAnne Bowers, Chelsea Drake, Alexi E Makarkin, et al.
JMIR AI|June 14, 2024
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi ApproachRachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, et al.
JMIR AI|June 14, 2024
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling StudyMatteo Malgaroli, Emily Tseng, Thomas D Hull, et al.
JMIR AI|June 14, 2024
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized ModelingTahsin Mullick, Sam Shaaban, Ana Radovic, et al.
JMIR AI|June 14, 2024
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative StudyMajdi Quttainah, Vinaytosh Mishra, Somayya Madakam, et al.
Pageof 33