AI in Medical Imaging
BMI 712
Subject & Catalog Number
Course Information
Description
This course offers an introduction to the methods, applications, and translational impact of medical image analysis. Students will explore fundamental principles of image acquisition, preprocessing, segmentation, feature extraction, and machine learning in imaging. The curriculum combines lectures, hands-on computational labs, and discussions of both seminal and contemporary research. Emphasis is placed on methodological innovation, clinical translation, and the ethical dimensions of AI in medical imaging. Through case-based learning and project work, faculty provide mentorship while students actively engage in coding exercises, problem-solving, and group project presentations.
Class Notes
Non-HMS students will be able to start submitting petitions for this course on November 13, 2025. Cross-reg petitions for students outside of DBMI academic programs will not be reviewed or approved before Friday, January 23, 2026.
Registration for HMS courses is not available until January Students who are not in the Biomedical Informatics Masters or PhD programs who wish to cross-register for this course must submit a petition in my.harvard that summarizes their interest in the course and their background in Python programming. Space for cross-registrants in this course may be limited. Cross-reg petitions will be reviewed on a first-come, first-served basis beginning January 23, 2026. Students can and should submit petitions before this date, but they will not be approved ahead of time.
For questions regarding cross-registration, please contact mbi@hms.harvard.edu with the subject line "BMI 712 cross-registration".
Available for Harvard Cross Registration
