42-687 Projects in Biomedical AI

12 units, Carnegie Mellon University

This projectbased course provides handson experience in applying the fundamentals of artificial intelligencemachine learning AIML to problems in a variety of biomedical research areas and applications. Students will work in teams to design, develop, and evaluate an AIML system to achieve one or more of the following goals identifying patterns in the data, modeling the inputoutput relationships andor classifying data into distinct categories. The datasets for this course will be drawn from different BMErelated areas provided by biomedical researchers, clinicians, and other publicly available sources. In addition to the project work, the course will discuss issues that are specific to the development and implementation of AI algorithms in medical settings. This includes FDA approval, human clinical trials, the Health Insurance Portability and Accountability Act, and medical ethics. This computational projectbased course is available to any student who has completed Introduction to Machine Learning course.

Prerequisites: none listed

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