American Board of Internal Medicine

Advancing primary care with Artificial Intelligence and Machine Learning

Zhou Yang, Christina Silcox, Mark Sendak et al.

2021 · 38 Zit.

Electronic Health Record Usability, Satisfaction, and Burnout for Family Physicians

A Jay Holmgren, Nathaniel Hendrix, Natalya C. Maisel et al.

2024 · 33 Zit.

Artificial Intelligence Governance and Strategic Planning: How We Do It

Ameena Elahi, Tessa S. Cook

2023 · 9 Zit.

Using Artificial Intelligence to Make Use of Electronic Health Records Less Painful—Fighting Fire With Fire

Richard J. Baron

2021 · 9 Zit.

Variation in Family Physicians’ Experiences Across Different Electronic Health Record Platforms: a Descriptive Study

Nathaniel Hendrix, Andrew Bazemore, A Jay Holmgren et al.

2023 · 5 Zit.

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, Andrew Bazemore

2024 · 4 Zit.

Relevancy of the ABIM examination

Marvin E. Gozum, John J. Norcini

1993 · 0 Zit.

Data Transformation to Advance AI/ML Research and Implementation in Primary Care

Timothy Tsai, Julie Lee, Robert Phillips et al.

2025 · 0 Zit.

Big data and artificial intelligence in pediatric heart failure

Tuyet Thi Nguyen, Anthony Chang, Alessandra Toscano

2025 · 0 Zit.

A comparison of the suitability of items generated by 4 large language models for pathology continuing certification

Gary W. Procop, Anthony Schlinsog, Colette Earnest et al.

2025 · 0 Zit.