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HLTH 718AAdvanced Artificial Intelligence in Health I

Units
0.25
Level
Graduate
Faculty
Health
Subject
Public Health Sciences

Not in the current Graduate Calendar. Shown as it appeared in Spring 2025.

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 0 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.

This course presents advanced applications of machine learning (ML) and artificial intelligence (AI) algorithms and their applications in solving challenges unique to health data. Common characteristics of big health data, such as multi-domain inputs, being observational, often unstructured, and potentially containing private information, are common barriers to the application of ML and AI in this field. This course will discuss some advanced ML solutions to those barriers and how AI advances are being applied to health. This is a modular seminar-style course. There will be a series of lectures from faculty members and researchers from the health and AI community.

Prerequisites

  • Must have completed at least 1 of the following:
    • HLTH619 - Fundamental Research Methods in Health Informatics (0.50)
    • HLTH650B - Machine Learning Techniques in Health (0.25)

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar