AI in Medicine: Foundations and Applications in Medical Practice and Research
- HMX
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Explore the foundational principles of artificial intelligence (AI) and its transformative applications in medicine and biomedical research.
- Online; Self-Paced
Enroll and gain access to course materials to complete at your own pace.
Certificate
Earn a short course certificate of completion when you finish all coursework within 8 weeks.
3-4 Hours
Most people can expect to complete short courses in 3-4 hours.
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Overview
AI is reshaping health care, offering unprecedented opportunities to improve patient outcomes, enhance clinical efficiency, and drive innovation in research. With the rapid adoption of AI in health care and research, it’s now more important than ever to understand the foundations and applications of this exciting field.
This HMX short course enables you to learn directly from leading Harvard Medical School faculty about the technical foundations of AI, including supervised and self-supervised learning and generative modeling. You will gain insights into various AI pipelines, and how they can be applied to improve patient diagnosis, clinical workflows, and different types of research, as well as the current regulatory landscape of both traditional machine learning models and generative AI.
Learning Objectives
- Understand the key technical concepts of modern machine learning, including supervised learning, self-supervised learning, and generative modeling
- Explore how AI is applied to assist with diagnosis, clinical workflows, and biomedical research
- Learn about the pre-market evaluation and post-market surveillance strategies used to evaluate AI models
- Understand the different regulatory frameworks for AI in medicine
Participant Types
Clinicians and health care professionals; researchers in biomedicine and technology sectors; and professionals a across health care fields
About the Course
HMX short courses feature targeted lessons on the latest medical science topics and advancements. Stay up-to-date on essential knowledge by exploring specialized topics in a shorter format designed for busy professionals.
Who Should Apply
This course will benefit learners such as clinicians and other health care professionals who are interested in learning about current AI advances; biomedical researchers who are seeking a comprehensive understanding of AI technologies; professionals in managerial roles in health care and related fields who are keen to learn how AI could be incorporated into routine practices to improve delivery of care.
Course Format
Most people can expect to spend 3-4 hours total on an HMX short course. In order to be considered for a short course certificate of completion, you must complete your coursework within eight weeks.
Group Enrollments
HMX courses are ideal for organizations looking to train teams or larger groups. Group pricing is available, making it a cost-effective investment in team development.
Faculty
Samaan Doroodgar Jorshery
MD, MPH
- Teaching Associate, Harvard Medical School
- Postdoctoral Scholar, Broad Institute of MIT and Harvard University
- AI in Medicine Curriculum Lead, HMX
Vineet Raghu
PhD
- Assistant Professor of Radiology, Harvard Medical School
- Investigator, Massachusetts General Hospital
- Editor, Clinical Development and AI Innovation, NEJM Group
- Editor-in-Chief, NEJM Journal Watch
- Associate Physician, Brigham & Women’s Hospital
- Assistant Professor in Medicine, Harvard Medical School
David Blumenthal, MD, MPP
Professor of the Practice of Public Health and Health Policy, Harvard School of Public Health /
Samuel O. Thier Professor of Medicine, Emeritus, Harvard Medical School
Michael J. Parker, MD
Assistant Professor of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center / Associate Dean for Online Learning Research, Harvard Medical School
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