ABFM Foundation Selects Inaugural Cohort of AI/ML Grant Recipients

The American Board of Family Medicine (ABFM) Foundation is pleased to announce its inaugural class of Artificial Intelligence/Machine Learning (AI/ML) grant recipients. The award winners were selected following a rigorous review and scoring process by an external AI/ML expert review panel.

THE 2022 AI/ML AWARD WINNERS ARE:

University of Houston; PI: Winston Liaw, MD, MPH
Primary Care Forecast: Using Social Risk Factors and Actionable, Explainable Artificial Intelligence/Machine Learning to Prevent the Progression of Diabetes Complications

University of Pittsburgh; PI: John S Maier, MD, PhD
Growing Primary Care Informatics using AI/ML to Understand Patients Not Just Diseases

University of California, San Diego; PI: Gene Kallenberg, MD
Building AI/ML Capacity in the UCSD Department of Family Medicine

University of Texas, San Antonio; PI: Carlos Roberto Jaén, MD, PhD
Harnessing Complexity: Applying AI/ML to discover solutions of multi-morbidity in Primary Care

The grant was designed to increase the capacity of AI/ML methods in Family Medicine for studying primary care research questions using real-world primary care data and will support the hiring of an AI/ML researcher embedded in the institution’s department. Each grant recipient will receive up to $500,000 with funding over a four-year period, with an institutional commitment to fund the AI/ML researcher for the fifth year.

Learn more: 2022 AI/ML Grant Award Winners