HMX Short Courses - AI in Medicine
Foundations and Applications in Medical Practice and Research
Explore the foundational principles of artificial intelligence (AI) and its transformative applications in medicine and biomedical research.
AI is reshaping health care, offering unprecedented opportunities to improve patient outcomes, enhance clinical efficiency, and drive innovations in research. This course enables participants to learn directly from leading Harvard Medical School faculty about the technical foundations of AI, including supervised and self-supervised learning and generative modeling. Learners 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. 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.
Participants will:
- 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
Topics Covered Include:
- Key Technical Concepts in Machine Learning: Supervised Learning
- Generative Modeling and Self-Supervised Learning for Text Generation
- Generative Modeling with Diffusion Models for Image Generation
- Deep Dive: Model Architectures
- Pre-market Evaluation of Machine Learning Models
- Deep Dive: Evaluation Metrics for Classification Models
- Applications of AI in Diagnosis
- Applications of AI to Improve Clinical Workflows
- The Role of AI in Biomedical Research
- Post-market Surveillance of Medical AI
- Conversation: Regulatory Aspects of AI in Medicine
To learn more about upcoming HMX Short Course sessions, please fill out the form below.
Course Instructors
Saman Doroodgar Jorshery, MD, MPH
Teaching Associate, Harvard Medical School
Postdoctoral Scholar, Broad Institute of MIT and Harvard
AI in Medicine Curriculum Lead, HMX
Vineet Raghu, PhD
Assistant Professor of Radiology, Harvard Medical School
Investigator, Massachusetts General Hospital
Raja-Elie Abdulnour, MD
Assistant Professor of Medicine, Harvard Medical School
Pulmonary and Critical Care Physician, Brigham and Women’s Hospital
Editor-in-Chief, NEJM Journal Watch
Editor, Clinical Development and AI Innovation (NEJM Group)
More Information
Frequently asked questions
How much are the courses?
- Individual course: $495
- Two-course bundle: $595
- Three-course bundle: $795
Can I apply for financial aid?
Partial tuition waivers are not available for HMX Short Courses.
What is the course schedule and time commitment?
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.
Is there a final exam?
There will be graded assessments throughout the course. However, these do not count toward your certificate status; please see below for certificate requirements.
Can I drop a course?
You may withdraw from the course and request a refund up until the drop deadline. Once you are enrolled, you will not be able to drop or request a refund. No extensions will be offered.
How can participants get help?
For technical support, learners can contact the HMX team for assistance throughout the course session. There are no discussion forums in the HMX Short Courses.
What is the criteria to earn a certificate?
In order to earn a short course certificate of completion, you must watch all videos, complete all assessments, and work through all other course material within the active course period. Once you have met the criteria, your certificate will be sent to your email. Certificates of achievement are not offered for short courses.
Will I get a physical certificate?
No, we are only offering PDF versions of certificates for short courses. You will not have the option to request a physical copy from us, but you are welcome to have it printed at your local print shop.
Can I mention my certificate in my LinkedIn profile or on my resume?
Yes. Certificates that you earn are appropriate for inclusion on LinkedIn or on your resume.
If you are listing an HMX course on your resume, we suggest listing it under the education section, below any earned degrees. Courses should be listed as “HMX Short Course (Harvard Medical School online learning platform) – [course titles]”
On LinkedIn, include any courses in the Education section as below:
School: Harvard Medical School
Degree: Other; HMX Short Course – [course title(s)]
Field of Study: leave blank
Start/End Year: Year in which you completed the course(s)
Grade: leave blank
Activities and societies: leave blank
Description: HMX Short Courses are 3-4 hour online courses from Harvard Medical School. I earned a Short Course Certificate of Completion in [course title]
“I’ve found all the courses to be tremendously helpful. The topics are so well organized, and I think the lectures cover those fundamental ideas very well…they are challenging in a positive way.”
Siyan Xu
Senior Principal Biostatistician, Novartis
To learn more about upcoming sessions of HMX Short Courses, please sign up below: