A Harvard course SHBT 261 “Artificial Intelligence in Medicine” is taught by our lab’s faculty members and postdoctoral fellows, which was originally launched in 2023 January and partly supported by NIH P30 EY003790. For the 2025 Spring semester, this course will start on January 28 and end on April 29 on Tuesdays between 1:00 pm to 3:00 pm. The course location is Second Floor Conference Room at Schepens Eye Research Institute (20 Staniford Street, Boston, 02114) of Massachusetts Eye and Ear at Harvard Medical School. This course is registered in the Division of Medical Sciences in the Graduate School of Arts and Sciences of Harvard University. The course is co-directed by Dr. Mengyu Wang and Dr. Tobias Elze with additional faculty instructor Dr. Mohammad Eslami and postdoctoral instructors with PhD degrees in Computer Science or Electrical Engineering.
This course offered at Schepens Eye Research Institute will serve as an introduction to artificial intelligence (AI) with an emphasis on its applications in medicine. The course will start from classical linear and non-linear regression models and then move to classical machine learning models including matrix decomposition methods, random forest, support vector machine, and traditional neural networks based on multilayer perception, and finally dive into the latest deep neural networks such as convolutional neural networks, transformers, foundation models, diffusion models, and large language models. The class will be taught with homework in the form of three mini-projects and one final project mainly using medical imaging data along with other medical tests and diagnostic information. We will have three special sessions as the last three classes to overview the latest developments on common medical AI modeling topics including segmentation, data augmentation and domain adaptation and generalization, and AI for science.