Harvard AI in Clinical Medicine 2024

Description

Date: November 7–8, 2024 | Format: Live Virtual

🌟 Course Overview

Artificial Intelligence (AI) is transforming medicine faster than ever—reshaping diagnostics, patient outcomes, and personalized treatment. This two-day Harvard Medical School course provides practical, cutting-edge knowledge to help clinicians understand and apply AI in real-world practice.

Learn directly from renowned medical leaders and innovators about how AI is changing patient care, research, and the future of healthcare delivery.

Expect lectures, panel discussions, case studies, and interactive skills stations—all designed to give you tools you can immediately apply in your practice.

👥 Who Should Attend

• Physicians

• Nurses & Nurse Practitioners

• Clinical Leaders & Administrators

• Allied Health Professionals interested in AI in medicine

🎯 Learning Objectives

By the end of the course, participants will be able to:

• Identify challenges and opportunities for AI in different healthcare fields.

• Discuss ethical considerations and biases in AI algorithms.

• Review current AI regulations and their practical implications.

• Evaluate the accuracy and long-term impact of AI on patient care.

• Explore methods for integrating AI into medical education and clinical workflows.

📅 Agenda Highlights

Day 1 – Thursday, November 7, 2024

• Keynote: How AI is Changing Clinical Care (Isaac Kohane, MD, PhD)

• Machine Learning, Deep Learning & Large Language Models

• The AI Health Care Odyssey: Historical Perspectives

• Technical Background for Clinicians

• Barriers to Clinical AI Implementation

• AI in Medical Education

• AI Scribes, Chatbots & Decision Support Tools

• Risk Stratification with AI

• Skills Stations: AI-assisted charting, heart failure management, and using ChatGPT in diagnosis

Day 2 – Friday, November 8, 2024

• Keynote: Ethics and AI in Health Care

• Law & Regulation in AI

• Leadership in the Digital Era

• Revenue & Burnout: How AI Can Help

• AI in Biomedicine, Imaging & Drug Discovery

• Personalized Medicine in Oncology

• Clinical Applications Breakouts: Pathology, Dermatology, Gastroenterology, Radiology, Ophthalmology, Critical Care

✨ Key Takeaway: This course is a transformational experience designed to help clinicians and healthcare professionals confidently integrate AI into everyday medical practice.