← Back to iSchool Course Listings
← Back to iSchool Course Listings
INF 385T : Special Topics in Information Science: AI in Health
Areas
Catalog Description
Exploration of major components of health IT systems, ranging from data semantics (ICD10), data interoperability (FHIR), diagnosis code (SNOMED CT), to workflow in clinical decision support systems. After establishing a good understanding of the fundamentals of health IT systems, we will dive deep into how AI innovations (e.g., machine learning, deep learning, computer vision) are transforming our healthcare system by introducing new concepts of mobile health, AI diagnosis, AI medicine, smart device, and intelligent delivery.
Prerequisites
Graduate standing.
← Back to iSchool Course Listings