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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.

Instructor Topic Title Year Semester Syllabus
Ying Ding
2025Spring
Ying Ding
AI in Health2024SpringSyllabus
Ying Ding
AI in Health2023SpringSyllabus
Ying Ding
AI in Health2022SpringSyllabus
Ying Ding
AI in Health2021SpringSyllabus

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