INF 385T Special Topics in Information Science : Artificial Intelligence in Health
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.
Restricted to graduate degree seekers in the School of Information during registration periods 1 and 2.
Remaining seats will be made available to outside students on January 13th.
In the meantime, interested non-iSchool students may request a seat reservation by completing this Registration Support Questionnaire.