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Gastroenterology Board Meeting Summary | Spring 2025

ABIM

DeVault, MD, Chair, ABIM Gastroenterology Board The Gastroenterology Board , which meets twice a year and is responsible for oversight of ABIM policy and assessment in the specialty, held its spring meeting on April 30, 2025. Sterling, MD , whose terms on the Specialty Board end June 30, 2025. Applications are due July 20, 2025.

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Geriatric Medicine Board Meeting Summary | Spring 2025

ABIM

Ruiz, MD, Chair, ABIM Geriatric Medicine Board The Geriatric Medicine Board , which meets twice a year and is responsible for oversight of policy and assessment in the specialty, held its spring meeting on March 28, 2025. Ruiz, MD , whose three-year term as chair ends June 30, 2025. Community Practice in ABIM Governance* Erica N.

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Infectious Disease Board Meeting Summary | Spring 2025

ABIM

Erin Bonura, MD, Chair, ABIM Infectious Disease Board The Infectious Disease Board , which meets twice a year and is responsible for oversight of ABIM policy and assessment in the specialty, held its spring meeting on March 25, 2025. JD , whose terms on the Specialty Board end June 30, 2025.

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Endocrinology, Diabetes and Metabolism Board Meeting Summary | Spring 2025

ABIM

Christine Twining, MD, Chair, ABIM Endocrinology, Diabetes and Metabolism Board The Endocrinology, Diabetes and Metabolism Board , which meets twice a year and is responsible for oversight of policy and assessment in the specialty, held its spring meeting on April 1, 2025. Community Practice in ABIM Governance* Erica N.

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Hematology Board Meeting Summary | Spring 2025

ABIM

Gertz, MD, MACP, Chair, ABIM Hematology Board The Hematology Board , which meets twice a year and is responsible for oversight of ABIM policy and assessment in the specialty, held its spring meeting on May 2, 2025. Most (49.5%) are in single-specialty group practice or multi-specialty group practice (38%).

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FDA Would Like to Join You in the Sandbox When Developing AI Enabled Devices

FDA Law

Both guidance documents recommend data management practices for collecting data for use in developing, tuning, and testing an artificial intelligence model and making changes to said model. population due to differences in demographics, practice of medicine, or standard of care. The DCP may also define the sources of the data (e.g.,