INF 385T: Special Topics in Information Science: AI in Health

Day Start End Building Room
  • Monday
  • 12:00 PM
  • 3:00 PM
  • UTA
  • 1.208

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.

Spring Term 2025
Unique ID
28420
Instructor
Mode: In Person
Restrictions

Restricted to graduate students in the School of Information through registration periods 1 and 2. Outside students will be permitted to join our waitlists beginning in registration period 3.