Harvard AI in Clinical Medicine 2026
Original price was: $2,500.00.$169.00Current price is: $169.00.
4.9
(218 reviews)
🤖 Harvard 3-day multidisciplinary AI course — machine learning, deep learning, large language models, clinical decision support, ambient AI scribes, precision medicine, AI in drug discovery, specialty study halls across 12+ fields, ethics, bias, privacy, regulation, and practical AI tool demonstrations. 39 Videos + 42 PDFs + Subtitles.
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Includes: 39 Expert Video Sessions + 42 PDF Lecture Slides + English Subtitles | Google Drive delivery
📚 About This Course
Artificial Intelligence is rapidly transforming healthcare — from clinical documentation and medical imaging to precision medicine, diagnostics, workflow automation, clinical decision support and personalized treatment planning.
Harvard AI in Clinical Medicine 2026 provides a comprehensive multidisciplinary education focused on how AI is being integrated into real-world clinical practice. Through expert-led lectures, specialty-focused study halls, practical demonstrations and clinical case discussions, participants develop a stronger understanding of how emerging AI technologies can be evaluated and responsibly incorporated into modern healthcare.
The program examines the opportunities, risks, ethical questions, regulatory challenges and implementation barriers associated with introducing AI into hospitals, health systems, academic centres and independent practices.
Cut through the hype — understand what AI can realistically do in clinical medicine today, what it can’t, and how to implement it responsibly.
🎯 Core Learning Areas
🤖 AI Across Medical Specialties
Dedicated study halls and specialty-focused sessions
📋 Complete 3-Day Curriculum
• Machine Learning, Deep Learning and Large Language Models — Samir Kendale, MD
• A Look Into the Black Box: Technical Background for Clinicians — Maha Farhat, MD
• Medical Data as the Backbone of AI — Matthew Engelhard, MD, PhD
• Chatbots in Health Care: A Historical Expedition — Arjun Manrai, PhD
• AI Learning Revolution: Transforming Medical Education — Adam Rodman, MD
• Ambient Scribes — Allison Koenecke, PhD
• An AI-Designed Drug for IPF: From Preclinical to Phase II — Toby Maher, MD, PhD
• Precision Medicine: AI and Personalized Treatment in Oncology — Eliezer Van Allen, MD
• AI-Powered Drug Repositioning and Clinical Trial Design — David Tester, PhD
Plus: 3 panel discussion and Q&A sessions
• AI for Pioneering Leadership in the Digital Era — Stanley Y. Shaw, MD, PhD
• Law and Regulation in AI — I. Glenn Cohen
• Telemetry and Mobile Health for Heart Failure Detection — Collin Stultz, MD, PhD
• Brain-Computer Interfaces and Decoding Speech — Ziv Williams, MD
• Can Chatbots Improve Mental Health? — Michael Heinz, MD
• Bias in Risk Stratification for Allocation and Policy — Emma Pierson, PhD
• Robust, Fair, and Private AI — Maia Hightower, MD, MPH, MBA
• Algorithmic Bias in Clinical Scores — James Diao, MD
Plus: 3 panel discussion and Q&A sessions
• Clinical Decision Support in the EHR — Natalie Pageler, MD
• Implementing AI in Your Small Practice — Adam Rodman, MD
• Hidden Risks of AI in Your Practice — David Canes, MD
• How AI Can Help Improve Your Bottom Line — Jean-Claude Saghbini, PhD
• AI and Reducing Healthcare Provider Burnout — Anand Chowdhury, MD
• Why AI May Be Good for Our Health but Hurt Our Wallets — Morgan Cheatham, MD
8 Specialty Study Halls: Pathology · Endocrinology · Ophthalmology · Gastroenterology · Critical Care · Radiology · Surgery/Anesthesiology · Nursing
3 Virtual Demonstrations: Ambient Scribe (Abridge) · Agentic AI · OpenEvidence, Doctronic, UpToDate Expert AI & Glass Health
Plus: 2 panel discussion and Q&A sessions
👨⚕️ Course Leadership
Plus 40+ multidisciplinary faculty from across Harvard Medical School and partner institutions
✅ By Completing This Course, You Will Be Able To
👩⚕️ Who Should Take This Course
⭐ What Clinicians Say
“This course finally explained AI in terms I could apply on Monday morning. The ambient scribe and decision-support sessions were immediately practical.”
Dr. David L. — Internal Medicine
“The ethics and bias sessions should be mandatory for anyone deploying clinical AI. Thoughtful, evidence-based, no hype.”
Dr. Aisha M. — Health System CMO
“The specialty study halls let me go deep into AI for my own field instead of sitting through generic content. Excellent design.”
Dr. Sarah K. — Pathologist
$169
Complete Harvard clinical AI program — 39 expert videos + 42 PDFs + subtitles. 3 days of content. Instant access, lifetime learning.
Our support team is available around the clock — email us at support@medicalosa.com and we’ll get back to you quickly.
