Over the last two decades, the digitization of medical records created opportunities for automation and data-driven clinical support for a range of routine clinical applications. Today, artificial intelligence (AI) is accelerating innovation in clinical medicine. We are on the cusp of revolutionizing how we care for patients in profound ways.
New technologies are available now to help you impact your practice. AI medical scribes, new research tools and diagnostic tests, and personalized treatment options are just a few applications of AI that are beginning to have a direct impact on clinicians and the patients they serve.
Up until now, most medical practitioners have not received formal training in artificial intelligence. Recognizing that now is the time for physicians and allied health care professionals to prepare for how AI is changing medical care, Harvard Medical School is offering this new continuing education course, AI in Clinical Medicine.
This live virtual course focuses on cutting edge and exciting new applications of AI, including foundational principles and lessons learned that you will be able to take directly back to your practice. Over two days, you will hear from medical society leaders, academic leaders, and innovators from academia and industry.
Sessions will delve into the applications of AI in diagnosing diseases, predicting patient outcomes, and personalizing treatment plans. Through lectures, field-specific break-out sessions, and real-world case studies, you will acquire the knowledge to harness AI’s potential to improve patient care and medical research. Faculty experts will explore the ethical implications, challenges, and opportunities inherent in integrating AI into medical practice.
During this course we will cut through the hype around AI to provide realistic, firsthand viewpoints into the potential of AI in clinical practice. Physicians and medical practitioners of all kinds are highly encouraged to join us for this transformational learning experience.
Who Should Attend
This course was designed specifically for clinicians treating patients in any type of setting including:
- Physicians
- Nurses
- Nurse Practitioners
- Clinical leaders – Administrators
Learning Objectives
Upon completion of this activity, participants will be able to:
- Define the unique challenges and opportunities for integrating AI in specialized health care fields.
- Discuss the ethical considerations and potential biases in AI algorithms, especially in decision-making processes related to patient care, diagnosis, and treatment planning.
- Review the current status area of AI regulation and how it can impact health care.
- Assess the long-term quality and accuracy of AI technologies and their impact on patient care.
- Develop methods for integrating AI into medical education, including content generation, evaluation, and ensuring alignment with educational objectives.
Thursday, November 7, 2024
9:30-9:45 AM
Welcome
Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD
9:45-10:30 AM
Keynote: Paging Dr. AI: How AI is Changing the Face of Clinical Care
Isaac Kohane, MD, PhD
10:30-11:00 AM
Learning the AI Lingo: Machine Learning, Deep Learning, and Large Language Models
Samir Kendale, MD
11:00-11:30 AM
The AI Health Care Odyssey: A Historical Expedition
Arjun Manrai, PhD, HMS
11:30 AM-12:00 PM
Panel Q&A: 15 minutes
Break: 15 minutes
12:00-12:30 PM
A Look Into the Black Box: Technical Background for Clinicians
Maha Farhat, MD, MSc
12:30-1:00 PM
Nuts and Bolts: Medical Data as the Backbone of AI
Monica Agrawal, PhD
1:00-1:30 PM
But I Want it Now!: Barriers to Clinical AI Implementation
Genevieve Melton-Meaux, MD, PhD
1:30-2:15 PM
Panel Q&A: 15 minutes
Break: 30 minutes
2:15-2:45 PM
AI Learning Revolution: Transforming Medical Education
Adam Rodman, MD
2:45-3:15 PM
AI Scribe, Medical Chatbot, and More!
Zachary Lipton, PhD
3:15-3:45 PM
How Can I Help You?: Clinical Decision Support
Natalie Pageler, MD, Stanford
3:45-4:15 PM
AI as a Crystal Ball: Revolutionizing Risk Stratification
Ziad Obermeyer, MD, Berkeley
4:15-4:45 PM
Panel Q&A: 15 minutes
Break: 15 minutes
4:45-5:30 PM
- Skills Station – AI Assisted Charting and Patient communication
Katherine Choi, MD, Abridge - Skills Station – AI for Heart Failure Management
David Ouyang, MD - Skills Station – Use Chat GPT to Inform Medical Diagnosis
Adam Rodman, MD
Friday, November 8, 2024
9:30-9:45 AM
Welcome
Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD
9:45-10:30 AM
Keynote: Ethics and AI in Health Care
Rebecca Weintraub Brendel, MD, JD, HMS-MGB
10:30-11:15 AM
Law and Regulation in AI
Glenn Cohen, JD
11:15 AM- 12:00 PM
AI for Pioneering Leadership in the Digital Era
Stanley Shaw, MD, PhD
12:00-12:30 PM
Panel Q&A: 15 minutes
Break: 15 minutes
12:30-1:00 PM
Money Talks: How AI Can Help You Improve Revenue
Jean-Claude Saghbini
1:00-1:30 PM
AI and Reducing Physician Burnout
Jane Moran
1:30-2:00 PM
Panel Q&A: 15 minutes
Break: 15 minutes
2:00-2:30 PM
How AI and ML are Driving Innovation in Biomedicine
Collin Stultz, MD, PhD
2:30-3:00 PM
A Picture is Worth A Million Words: AI and Image Processing
Constance Leman, MD, PhD
3:00-3:30 PM
Unlocking Drug Discovery: AI’s Pharmaceutical Frontier
Vikram Khurana, MD, PhD
3:30-4:00 PM
Precision Medicine: AI and Personalized Treatment in Oncology
Eli Van Allen, MD
4:00-4:15 PM
Panel Q&A: 15 minutes
Break: 15 minutes
4:30-5:30 PM
- Clinical Applications: Pathology
Kun Yu, MD, PhD - Clinical Applications: Dermatology
Roxana Daneshjou, MD, PhD - Clinical Applications: Gastroenterology
Tyler Berzin, MD - Clinical Applications: Radiology
Pranav Rajpurkar, PhD - Clinical Applications: Ophthalmology
Nazlee Zebardast, MD, MS - Clinical Applications: Critical Care
Leo Celi, MD
5:30-5:45 PM
Final Remarks
Maha Farhat, MD MSc; Samir Kendale, MD; Issac Kohane, MD, PhD
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Dr. Sarah K. –
“This course was a game-changer! The integration of AI principles into clinical practice provided me with the tools to enhance patient care. Highly recommend it!”
Dr. Michael T. –
“I was initially skeptical about AI in medicine, but this program opened my eyes to its potential. The practical applications discussed were incredibly valuable for my practice.”
Dr. James L. –
“An essential course for anyone looking to stay ahead in healthcare. The case studies were particularly helpful in illustrating real-world applications of AI.”
Dr. Linda M. –
“I appreciated the focus on ethical considerations in AI. This course not only taught me how to use AI tools but also how to do so responsibly.”
Dr. Alex P. –
“The flexibility of the online format made it easy for me to balance my busy schedule. The recorded sessions are a fantastic resource for ongoing learning.”
Dr. Natalie S. –
“This course exceeded my expectations! The collaborative learning environment and expert insights provided a comprehensive understanding of AI’s role in modern medicine.”