Fundamentals and Applications of Artificial Intelligence in Medical Imaging.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisites: CMSC 225 ; and CLSE 115 , CMSC 210 , CMSC 254 , EGRB 215 or EGRE 246 . This course is designed to provide students with a comprehensive understanding of the intersection between artificial intelligence and medical imaging. Basic understanding of machine learning and image processing is recommended but not mandatory. Students will learn how AI techniques can be applied to various aspects of medical and biological imaging, including image analysis, feature extraction, disease diagnosis and treatment planning. The course will cover both theoretical concepts and hands-on practical applications, preparing students for careers in health care, research and AI development.