KEYWORDS: Artificial Intelligence, Machine Learning
EDITORIAL (1) | COMMENTARIES (3) | ORIGINAL RESEARCH (6) | SPECIAL COMMUNICATION (3)
EDITORIAL
Use of AI in Family Medicine Publications: A Joint Editorial from Journal Editors
Sarina Schrager, Dean A. Seehusen, Sumi Sexton, Caroline Richardson, Jon Neher, Christopher Pimlott, Marjorie Bowman, Jose Rodriguez, Christopher P. Morley, Li Li and James Dom Dera
The Journal of the American Board of Family Medicine January 2025, 38 (1) 4-8.
COMMENTARIES
Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence
Ting Wang, David W. Price and Andrew W. Bazemore
The Journal of the American Board of Family Medicine May 2025, 38 (3) 599-602.
Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge
Robert L. Phillips and Andrew W. Bazemore
The Journal of the American Board of Family Medicine November 2024, 37 (Supplement2) S138-S143.
Family Medicine Must Prepare for Artificial Intelligence
Karim Hanna, David Chartash, Winston Liaw, Damian Archer, Daniel Parente, Nipa R. Shah, Steven Waldren, Bernard Ewigman and Wayne Altman
The Journal of the American Board of Family Medicine July 2024, 37 (4) 520-524.
Using Primary Health Care Electronic Medical Records to Predict Hospitalizations, Emergency Department Visits, and Mortality: A Systematic Review
Rebecca Johnson, Thomas Chang, Rahim Moineddin, Tara Upshaw, Noah Crampton, Emma Wallace and Andrew D. Pinto
The Journal of the American Board of Family Medicine July 2024, 37 (4) 583-606
Elastic Scattering Spectroscopy on Patient-Selected Lesions Concerning for Skin Cancer
Miguel Tepedino, David Baltazar, Karim Hanna, Alina Bridges, Laurent Billot and Nathalie C. Zeitouni
The Journal of the American Board of Family Medicine May 2024, 37 (3) 427-435.
Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders
Tara L. Upshaw, Amy Craig-Neil, Jillian Macklin, Carolyn Steele Gray, Timothy C. Y. Chan, Jennifer Gibson and Andrew D. Pinto
The Journal of the American Board of Family Medicine April 2023, 36 (2) 210-220.
Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres
Danielle M. Nash, Cathy Thorpe, Judith Belle Brown, Jacqueline K. Kueper, Jennifer Rayner, Daniel J. Lizotte, Amanda L. Terry and Merrick Zwarenstein
The Journal of the American Board of Family Medicine April 2023, 36 (2) 221-228.
Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications
David W. Price, Peter Wingrove and Andrew Bazemore
The Journal of the American Board of Family Medicine March 2024, 37 (2) 279-289.
A Machine Learning Approach to Identification of Unhealthy Drinking
Levi N. Bonnell, Benjamin Littenberg, Safwan R. Wshah and Gail L. Rose
The Journal of the American Board of Family Medicine May 2020, 33 (3) 397-406.
What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
Richard A. Young, Carmel M. Martin, Joachim P. Sturmberg, Sally Hall, Andrew Bazemore, Ioannis A. Kakadiaris and Steven Lin
The Journal of the American Board of Family Medicine March 2024, 37 (2) 332-345.
A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution
Steven Lin
The Journal of the American Board of Family Medicine January 2022, 35 (1) 175-184.
“Alexa, Can You Be My Family Medicine Doctor?” The Future of Family Medicine in the Coming Techno-World
Allen F. Shaughnessy, David C. Slawson and Ashley P. Duggan
The Journal of the American Board of Family Medicine March 2021, 34 (2) 430-434.
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