College of Medicine MD Curriculum

Scholarly Pathway: Machine Learning

An illustrated photo of global technology interface.

Purpose

The aim of the Scholarly Pathway of Excellence in Machine Learning is to equip medical students with essential skills in clinical applications of machine learning (ML) and artificial intelligence (AI), including protected data practices and both foundational and applied knowledge.  Throughout the curriculum, the pathway emphasizes ethical deployment and responsible use of ML/AI.  Foundational ML/AI education will be delivered in the M1 & M2 years with opportunities for applied learning and specialization in the M3 & M4 years.  The pathway aligns with ongoing AI initiatives in the College of Medicine and Life Sciences and across the university to ensure relevance and integration with broader institutional efforts.

Pathway Director

Scott Pappada, Ph.D. 

Scott Pappada, Ph.D. 

Associate Professor & Director of Research
College of Medicine and Life Sciences and College of Engineering
Department of Anesthesiology and Department of Bioengineering

 

Capacity

Number of Students Accepted into M1 Cohort: 10

 

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Last Updated: 8/27/25