Artificial Intelligence: Redefining the Frontiers of Medicine
How is artificial intelligence reshaping modern health care? This online course introduces you to the role of AI in medicine, from interpreting images to streamlining clinical documentation. You’ll explore how these tools enhance diagnosis and treatment while examining the ethical risks and regulatory challenges they present. Learn from experts in the field, analyze real-world examples, and complete a final project to prepare for future paths in medicine, research, technology, and more.
Program Dates
Choose the course length that works for you: Multi-length courses available throughout the year
Eligibility
For students ages 13 and up
Individual Course Fees
$2,195
Where Medicine Meets the Power of AI
How AI Learns to Think
Discover how AI systems detect patterns in data and turn them into predictions and real-world outputs. Explore how these tools support clinical reasoning, text interpretation, and workflow efficiency in health care.
From Data Points to Diagnosis
Uncover how AI analyzes medical images, lab results, and patient records to identify patterns and support clinical diagnosis. Investigate how bias and data limitations can affect the reliability of AI diagnostic tools.
Personalizing the Path to Treatment
Learn how predictive models and clinical decision-support tools help clinicians tailor treatment plans and monitor patient outcomes. Examine how AI is advancing personalized medicine through smarter medication management, early detection, and precision care.
Where Laboratory Discovery Meets Big Data
Trace how AI identifies patterns in large-scale biological data to unlock new insights into disease mechanisms and drug discovery. Analyze how AI-driven research shapes the diagnostic tools and treatments that ultimately reach patients.
The Human Side of Medical AI
Consider the ethical challenges of bias, privacy, and transparency shaping how AI tools are evaluated in health care. Understand what AI literacy means for clinicians making informed, responsible decisions in patient care.
Define Your Vision for Medicine's Future
Apply everything you've learned to analyze a real clinical or research scenario where AI plays a meaningful role. Propose guidelines for its responsible and ethical use in medicine.
How You Will Benefit
- Gain a foundational understanding of how AI systems learn, reason, and generate outputs in clinical and research settings.
- Explore how AI supports diagnosis, treatment, and biomedical discovery across a range of real-world medical applications.
- Examine the ethical challenges of bias, privacy, and transparency that shape the responsible use of AI in health care.
- Understand what AI literacy means for future physicians and how it will inform clinical decision-making.
- Apply your knowledge by analyzing a real clinical or research scenario and proposing guidelines for responsible AI use in a final capstone project.
- Earn a Certificate of Completion from Harvard Medical School, a valuable addition to your college applications.
Four Learning Advantages Designed for You
Final Capstone Project
This online course culminates in a final project that allows you to:
- Select a health care scenario where AI is currently being used or could play a meaningful role in improving care, decision-making, or scientific understanding.
- Describe the problem AI is meant to address, the type of tool or approach involved, and the data it relies on.
- Evaluate the risks, limitations, and ethical concerns that may arise, including bias, privacy, safety, and workflow challenges.
- Propose practical recommendations for how AI should be developed, tested, and used responsibly in your chosen context.
College-Level Content
- The program grants you access to enrichment-style learning, including videos, assignments, end-of-module quizzes, and interactive widgets.
- Gain unique insights and perspectives from Harvard Medical School faculty and other leaders shaping the future of medicine.
- Apply your knowledge in a hands-on final capstone project that is designed to help you explore and demonstrate what you’ve learned.
Mentoring
Gain support from an expert mentor who’ll help answer questions and enrich your experience. Here’s what to expect:
- Mentors grade assignments, provide feedback, and guide you in understanding what it takes to pursue a future as a doctor
- Encouragement and direction throughout the course.
- Inspiration, motivation, and confidence to help you succeed.
Flexible Learning
- 100% online learning that works with your schedule.
- Enjoy flexible, engaging video lessons that you can watch at your convenience.
- Multiple medical courses can be taken to maximize your learning experience.
- Approximately 35 hours of total instruction and activities per course, including multimedia, simulations, and curated quizzes and content.
Apply Now for the Next Available Course
Taught by HMS Faculty
Arjun (Raj) Manrai, Ph.D.
Assistant Professor of Biomedical Informatics, Harvard Medical School
Arjun (Raj) Manrai, Ph.D., is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, where he leads a research lab applying machine learning and statistical modeling to improve medical decision-making. He earned his A.B. in Physics from Harvard College and his Ph.D. in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology. His research spans the role of artificial intelligence in medical diagnosis, the clinical use of genomic data and laboratory biomarkers, inherited disease, and reproducibility and safety challenges for medical AI, with work published in the New England Journal of Medicine and JAMA.
How To Apply:
It’s easy. No transcripts or letters of recommendation are required. Just provide some basic information and tell us why you wish to take this program.
Note: Please submit all application materials in English.
Begin the guided application process. It should take only a few minutes of your time to answer the questions.
Want to Know More?
Sign up for more information and we’ll be in touch.
Admissions
Our application process is easy. You can expect a prompt decision.
Frequently Asked Questions
How will you be graded? How much time do you have to turn around a project? When do you find out if you're accepted? Find answers to your questions here.
Scholarships
We offer need-based scholarships for participating students who exhibit high potential and an inability to pay the full tuition.
- If you haven’t applied to the program, apply here. After submitting your application, click “Apply for a need-based scholarship” on the confirmation page to request a scholarship.
- If you’ve already applied to the program, sign in to your profile to check your scholarship status. If we don’t have a scholarship request on file, click “Apply for a need-based scholarship” to request a scholarship.
