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HLTH 717M - Advanced Artificial Intelligence in Health I

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. Students who do not have the prerequisites but have Python programming and ML skills may be permitted to enrol in the course at the instructor¿s discretion.

Prerequisites

HLTH605B

Corequisites

None

Antirequisites

None

Offerings

Spring 2026 [1265]

SectionClassEnrolledTimeDaysLocationInstructor
SEM 00146610 / 25
SEM 00246620 / 25

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