AI
AI Foundations
Machine learning, deep learning, large language models, technical background for clinicians, and medical data as the backbone of AI systems.
Harvard AI in Clinical Medicine 2026
Original price was: $1,500.97.$179.97Current price is: $179.97.
Harvard AI in Clinical Medicine 2026. Recorded course for on-demand study, with downloadable digital materials and Google Drive access.
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Description
HARVARD • CLINICAL AI • 2026
AI in Clinical Medicine 2026
A comprehensive recorded program exploring how artificial intelligence is moving into real clinical practice — from machine learning and large language models to clinical decision support, ambient documentation, precision medicine, ethics, bias, regulation, and practical implementation.
RECORDED COURSE
CLINICAL AI
INSTANT ACCESS
LIFETIME ACCESS
ENGLISH
2026 Clinical AI Update
Machine LearningCore concepts for clinicians
Large Language ModelsGenerative AI and clinical workflows
Decision SupportEHR tools, diagnosis and prediction
Precision MedicineOncology, drug discovery and trials
Ethics & BiasFairness, privacy and responsible AI
ImplementationDeploying AI safely in practice
3 DaysProgram Scope
Clinical AICore Focus
RecordedOn-Demand
∞Lifetime Access
About the Course
Cut through the AI hype and understand what matters in clinical practice.
The program is built for clinicians who want a practical understanding of artificial intelligence without needing a technical background.
AI in Clinical Medicine 2026 begins with foundational concepts such as machine learning, deep learning, large language models, and the medical data infrastructure that supports clinical AI.
It then moves into real-world use cases including chatbots, ambient scribes, clinical decision-support systems, patient monitoring, disease prediction, medical education, drug development, precision oncology, and AI-powered clinical trial design.
The program also addresses responsible implementation, algorithmic bias, patient privacy, regulation, leadership, workflow integration, and the practical limitations clinicians need to understand before adopting AI tools.
Why explore this program
Understand machine learning, deep learning and LLMs
Review ambient scribes and generative AI workflows
Explore precision medicine and AI-enabled research
Understand ethics, bias, privacy and regulation
Learn practical clinical implementation frameworks
Study at your own pace with recorded access
Clinical Coverage
From AI foundations to real-world deployment.
The course connects technical concepts with the clinical, operational, ethical, and leadership questions that determine whether AI is actually useful in care.
CL
Clinical Applications
Clinical decision support, ambient documentation, chatbots, patient monitoring, diagnosis, outcome prediction, EHR integration, and specialty-specific use cases.
IN
Innovation & Precision Medicine
AI-designed therapeutics, drug development, clinical-trial design, precision oncology, personalized treatment, and AI-assisted research tools.
ER
Ethics, Regulation & Leadership
Ethics, algorithmic bias, fairness, privacy, law, regulation, responsible implementation, health-system leadership, and adoption strategy.
Course Leadership & Faculty
Meet the leaders behind the program.
Roles below follow the official Harvard 2026 faculty section: Maha Farhat and Samir Kendale are Course Directors; Isaac Kohane is featured as course faculty and delivers the opening keynote.
Course Director
Maha Farhat, MD, MSc
Massachusetts General Hospital Division of Pulmonary and Critical Care Medicine
Gilbert S. Omenn Associate Professor of Biomedical Informatics
Associate Director, Bioinformatics and Integrative Genomics (BIG) PhD Track
Course Director
Samir Kendale, MD, FASA
Assistant Professor of Anaesthesia, Harvard Medical School
Medical Director of Anesthesia Informatics, Beth Israel Lahey Health
Featured Faculty
Isaac Kohane, MD, PhD
Chair, Department of Biomedical Informatics, Harvard Medical School
Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School
Associate Professor of Medicine, Brigham and Women's Hospital
3-Day Curriculum
A practical progression from foundations to implementation.
The 2026 agenda moves from understanding AI, to ethics and advanced applications, to operational deployment across clinical specialties and healthcare organizations.
Foundations, Generative AI & Precision Medicine
- How AI is changing clinical care
- Machine learning, deep learning and LLMs
- Technical background for clinicians
- Medical data as the backbone of AI
- Chatbots and generative AI
- AI in medical education
- Ambient scribes
- AI-designed therapeutics
- Precision oncology
- AI-powered clinical trials
Ethics, Regulation, Bias & Advanced Clinical Use Cases
- Ethics and AI in healthcare
- Leadership in the digital era
- AI law and regulation
- Heart-failure telemetry and mHealth
- Brain-computer interfaces
- Chatbots in mental health
- Bias in risk stratification
- Robust, fair and private AI
- Algorithmic bias in clinical scores
Implementation, Workflow & Specialty Applications
- Barriers to clinical AI implementation
- Clinical decision support in the EHR
- Implementing AI in smaller practices
- Hidden risks of AI tools
- AI and clinician burnout
- Operational and financial considerations
- Pathology, endocrinology and ophthalmology
- Gastroenterology, critical care and radiology
- Surgery and anesthesia applications
- Ambient scribes, agentic AI and evidence search
Who should take this course?
Designed for clinicians and healthcare professionals who want to understand how AI can be evaluated and integrated into real patient-care environments.
Course Package
Recorded educational access designed for flexible self-paced review.
3 Days
Full Program Scope
Foundations, ethics, regulation, clinical applications, and implementation.
Recorded
On-Demand Sessions
Review the available educational presentations according to your own schedule.
Clinical AI
Practice-Focused Topics
Decision support, generative AI, ambient documentation, precision medicine, and more.
∞
Lifetime Access
Return to the available course materials whenever you need a refresher.
Frequently Asked Questions
Before you download.
Clear answers to common buyer questions.
Is this a live course?
No. This product contains recorded, on-demand educational materials for self-paced learning.
Does the course cover large language models?
Yes. Large language models are included within the foundational AI curriculum and broader generative-AI discussions.
Does it include practical clinical applications?
Yes. The program reviews clinical decision support, ambient scribes, patient monitoring, diagnosis and prediction, specialty-specific AI applications, and practical implementation strategies.
Are ethics, bias and regulation included?
Yes. Ethics, algorithmic bias, fairness, privacy, law, regulation, and responsible AI implementation are major areas of the program.
How will I receive access after purchase?
Access instructions are provided after your order is completed so you can begin reviewing the available course materials right away.
Does course access expire?
No. The recorded course package offered here includes lifetime access.
Does this recorded package include CME/CE credit or a certificate?
No. The recorded package offered here does not include CME/CE credit or an official certificate.
Important:
This product provides recorded, on-demand educational materials and is not
registration for the original live Harvard event. No CME/CE credit or official
certificate is included with this recorded package.
CLINICAL AI • DIGITAL MEDICINE • 2026
Understand what AI can actually do in clinical medicine.
Review machine learning, large language models, generative AI, clinical decision support, ambient documentation, precision medicine, ethics, regulation, specialty applications, and real-world implementation — at your own pace.
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