As a faculty member of the

American Board of Artificial Intelligence in Medicine (ABAIM),

I contribute to educational programs that equip healthcare professionals with the foundational and applied knowledge needed to navigate AI in clinical practice. My teaching focuses on interdisciplinary fluency—helping clinicians understand the logic behind algorithms, the structure of healthcare data, and the implications of AI integration on patient care and safety.

Through ABAIM, I help bridge the gap between technical development and clinical reasoning, fostering a new generation of digitally literate, system-aware medical professionals.