BIO 160
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Artificial Intelligence in Medicine
Course Description
Artificial Intelligence (AI) has become a major driver of medical advances, improving diagnosis, treatment and therapeutics. Future health-care professionals must be familiar with the goals, methods and limitations of AI and machine learning. This course examines how these techniques can drive innovation and improve medical care.
When Taught
Winter
Min
1
Fixed/Max
1
Fixed
1
Fixed
0
Title
Identify medical applications of AI
Learning Outcome
Students will be able to identify AI and machine learning of many varieties in current medical practice and medical research.
Title
Evaluate Potential
Learning Outcome
Students will evaluate emerging uses of machine learning in medicine by assessing potential limitations and sources of bias. Students will be able to contrast various metrics of accuracy and critique how a deficiency in an aspect of accuracy might impact the practical utility and broad application of an AI method.
Title
AI and Agency
Learning Outcome
Students will be able to defend appropriate uses of AI in their life, in a way that preserves agency and personal responsibility for learning and growth. (Elder Bednar - Things as they really are 2.0)
Title
Creativity
Learning Outcome
Students will propose new medical AI technology. They will defend the utility and define the scope of their proposed method with a clear training goal, and the proposed AI methodology that they believe can achieve their goal. They will demonstrate the feasibility of their approach by citing currently available datasets and/or methods to create new datasets of sufficient size and complexity to achieve the training goal.
