Harvard AI in Clinical Medicine 2026 – Complete Video Course

39 Expert-Led Videos + 42 PDF Lecture Slides + English Subtitles

Overview

Artificial Intelligence is rapidly transforming every aspect of modern healthcare—from
clinical documentation and medical imaging to precision medicine, diagnostics,
workflow automation, clinical decision support, and personalized treatment planning.

AI in Healthcare 2026 is a comprehensive, multidisciplinary educational program that
helps healthcare professionals understand how artificial intelligence is being
integrated into real-world clinical practice. Through expert-led lectures,
specialty-focused study halls, practical demonstrations, and real clinical case
discussions, participants will gain the knowledge and confidence to responsibly
adopt AI technologies in patient care.

The course goes beyond the hype by providing evidence-based, practical guidance on
machine learning, large language models (LLMs), AI regulation, ethics, clinical
decision support, digital health innovation, medical education, AI-powered drug
discovery, ambient documentation, and specialty-specific applications across
multiple medical disciplines.

Whether you’re new to AI or looking to integrate advanced AI tools into your daily
practice, this program offers actionable insights that can immediately improve
patient care, workflow efficiency, and clinical decision-making.

Why Take This Course?

• Learn how AI is changing modern clinical practice
• Understand Machine Learning, Deep Learning & Large Language Models (LLMs)
• Explore practical AI tools already being used in healthcare
• Master AI-assisted clinical documentation and ambient scribes
• Discover AI-powered clinical decision support systems
• Learn about AI ethics, regulation, privacy, fairness, and bias
• Explore AI applications across multiple medical specialties
• Understand AI in medical education and research
• Learn how AI improves efficiency while reducing clinician burnout
• Stay current with the latest digital health innovations

Learning Objectives

• Understand the foundations of Artificial Intelligence in healthcare.
• Explain Machine Learning, Deep Learning, Generative AI, and Large Language Models.
• Evaluate the opportunities and limitations of AI in clinical medicine.
• Apply AI tools safely within evidence-based clinical practice.
• Recognize ethical challenges, algorithmic bias, and regulatory considerations.
• Assess AI technologies for accuracy, reliability, and patient safety.
• Incorporate AI into medical education, research, and healthcare systems.
• Improve workflow efficiency using AI-powered documentation and decision-support tools.
• Explore future trends in personalized medicine and digital healthcare.

Who Should Attend?

Topics Covered

Artificial Intelligence Fundamentals:

• Introduction to Artificial Intelligence in Healthcare
• Machine Learning
• Deep Learning
• Large Language Models (LLMs)
• Medical Data for AI
• Technical Foundations for Clinicians

Clinical AI Applications:

• AI in Clinical Decision Support
• AI in Electronic Health Records (EHR)
• AI Medical Scribes
• Ambient Documentation
• AI for Patient Monitoring
• AI for Disease Prediction
• AI for Precision Medicine
• AI in Oncology
• AI for Drug Discovery
• AI for Drug Repositioning
• AI in Clinical Trial Design
• AI in Heart Failure Monitoring
• Brain-Computer Interfaces
• AI for Mental Health

Ethics, Regulation & Governance:

• AI Ethics in Healthcare
• AI Regulation
• Algorithmic Bias
• Fairness in AI
• Privacy & Security
• Risk Stratification
• Responsible AI
• Hidden Risks of AI

AI Implementation:

• Implementing AI in Clinical Practice
• AI for Small Practices
• Barriers to AI Adoption
• Clinical Workflow Integration
• Healthcare Innovation
• Financial Impact of AI
• AI & Provider Burnout

AI in Medical Education:

• AI Content Generation
• AI-Assisted Learning
• Educational Applications
• Medical Training

Specialty-Specific AI Sessions:

Dedicated AI applications in:

• Pathology
• Endocrinology
• Ophthalmology
• Nursing
• Gastroenterology
• Critical Care
• Radiology
• Surgery
• Anesthesiology

Live Demonstrations:

• Agentic AI for Clinicians
• OpenEvidence Clinical Search
• Doctronic
• UpToDate Expert AI
• Glass Health Clinical Decision Support

Key Highlights

Why This Course Stands Out

Artificial Intelligence is no longer a future concept—it is already transforming how
healthcare professionals diagnose diseases, document patient encounters, interpret
medical images, discover new therapies, educate trainees, and make clinical decisions.

This course provides one of the most comprehensive overviews of AI in medicine,
combining technical fundamentals with practical clinical applications across nearly
every major medical specialty. It equips clinicians with the knowledge needed to
confidently evaluate, implement, and responsibly use AI technologies in modern healthcare.

Course Includes: