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Dec 26, 2024
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CS 6420 - Artificial Intelligence in Medicine
Artificial intelligence (AI) approaches for medical decision making and clinical support, including knowledge-based systems, Bayesian reasoning, and data mining. Medical applications of AI, including diagnosis, therapy selection, patient monitoring and patient education.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be aware of the current literature and online resources and learn the state-of-the-art in medical Artificial Intelligence research and practice.
- Students will be prepared to conduct independent research in Artificial Intelligence in Medicine.
- Students will gain an understanding of the ethical, legal, social and other non-technical aspects of applying Artificial Intelligence in medical domains.
- Students will learn advanced Artificial Intelligence approaches that are especially well-suited to medical decision making and clinical support.
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