Artificial Intelligence Fellowship in Cardiovascular Disease

• Hold an MD, DO, or equivalent doctoral medical degree.
• Possess a current unrestricted medical license before fellowship commencement.
• Demonstrate an interest in cardiovascular medicine, artificial intelligence, machine learning, or clinical informatics.
• Applicants in Cardiology, Cardiac Surgery, or Internal Medicine training programs are encouraged to apply during their research year.
• Submit a Letter of Interest.
• Submit an updated Curriculum Vitae (CV).
• Submit three letters of recommendation, including:

One from the current or most recent ACGME Program Director.

Two from faculty members familiar with the applicant's clinical or academic work.

• Qualified applicants may be asked to submit additional supporting documents and participate in interviews.

The Artificial Intelligence Fellowship in Cardiovascular Disease at Northwestern University Feinberg School of Medicine is the first dedicated fellowship of its kind designed to train physician leaders at the intersection of cardiovascular medicine and artificial intelligence. The program is jointly administered by the Bluhm Cardiovascular Institute and the McCormick School of Engineering, providing an interdisciplinary curriculum that integrates medicine, computer science, and engineering. Fellows begin with an intensive immersion in computer programming, statistics, and computational methods before progressing to advanced coursework in artificial intelligence, machine learning, data science, and human-computer interaction. Throughout the fellowship, participants conduct mentored research alongside internationally recognized faculty, applying AI to cardiovascular imaging, electrocardiography, natural language processing, predictive analytics, and clinical decision support systems. Fellows contribute to innovative projects involving automated ECG interpretation, AI-assisted cardiac imaging, biomarker discovery, and electronic health record data analysis. Successful completion of the program results in a Master of Science in Artificial Intelligence (MSAI) while preparing graduates for careers in academic medicine, digital health, cardiovascular research, and healthcare innovation.