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Fall 2026
AI in Healthcare: a Practical Introduction
An introduction to AI and its transformative potential in healthcare, covering core concepts and clinical applications.
Recorded instructors · Fall 2026 Matthew Lee
Summary
Lectures are small, with a median of 8 enrolled students in the recorded sections.
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Prerequisites
Course mapMED SC-M 810, 811, 812, and 813
RADIOL 913
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Professors
Fall 2026Historical instructors & teaching patterns
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Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 007 | Classroom Instruction | 8 / 0 | 0 |
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Student experience
the class
An introduction to the rapidly developing field of artificial intelligence (AI) and its transformative potential in healthcare. Gain a foundational understanding of core AI concepts, including machine learning, deep learning, natural language processing, and multimodal AI. Explore the application of AI in diverse medical specialties, including radiology, pathology, cardiology, and surgery. Examine the ethical and societal implications of AI in clinical practice.
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UW–Madison
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AI in Healthcare: a Practical Introduction
Recorded 2026-09-07Raw records
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"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:832:027230",
"course_id": "RADIOL 913",
"course_uid": "course_b7ece8d955ccc478a06f1f4f",
"term_id": "1272",
"source_course_id": "027230",
"source_subject_id": "832",
"title": "AI in Healthcare: a Practical Introduction",
"credits_min": 2,
"credits_max": 2,
"typically_offered": "Not Applicable"
}
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nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "aaa0d30fe3913e763561be3d8abcc4174bad071f62342adb38ca43e4889b36e6",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}