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Harvard AI in Clinical Medicine 2024

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Harvard AI in Clinical Medicine 2024: Revolutionizing Patient Care with Artificial Intelligence

The 2024 Harvard AI in Clinical Medicine course is an indispensable opportunity for healthcare professionals to delve into the transformative power of artificial intelligence (AI) in modern medicine. This live virtual program bridges the gap between cutting-edge technology and clinical practice, equipping participants with practical insights to seamlessly integrate AI into healthcare.

Over two dynamic days, participants will learn from globally recognized leaders in academia, medical societies, and industry, acquiring actionable strategies to harness AI’s potential in revolutionizing patient care. Key highlights include:

  • Enhancing patient outcomes through AI-driven disease diagnosis, predictive analytics, and personalized treatment plans.
  • Showcasing real-world applications of AI that improve clinical workflows and support informed decision-making.
  • Addressing ethical challenges and navigating biases inherent in AI algorithms.
  • Exploring AI-powered tools, including medical scribes, research platforms, and diagnostic innovations.

This highly interactive program features engaging lectures, specialty-focused breakout sessions, and expert-led discussions, offering a balanced perspective on AI’s practical applications and long-term impact. Beyond the hype, the course delivers realistic viewpoints and actionable solutions to help clinicians integrate AI effectively into their practice.

Whether you are a physician, researcher, or allied healthcare professional, this program empowers you with foundational principles and innovative strategies to lead the way in AI-driven clinical care and medical research. Don’t miss this unique opportunity to join the forefront of healthcare innovation.

LEARNING OBJECTIVES

Upon completing this activity, participants will be able to:

  • Identify challenges and opportunities for incorporating AI into specialized healthcare fields.
  • Evaluate ethical considerations and biases in AI algorithms for patient care, diagnosis, and treatment planning.
  • Understand the current regulatory landscape of AI and its implications for healthcare.
  • Assess the long-term quality, accuracy, and impact of AI technologies on patient outcomes.
  • Develop strategies to incorporate AI into medical education, including content creation, evaluation, and alignment with learning objectives.

HARVARD AI IN CLINICAL MEDICINE 2024

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HARVARD AI IN CLINICAL MEDICINE 2024 TOPICS

1. Welcome – Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD

2. Keynote: Paging Dr. AI: How AI is Changing the Face of Clinical Care – Isaac Kohane, MD, PhD

3. Learning the AI Lingo: Machine Learning, Deep Learning, and Large Language Models – Samir Kendale, MD

4. The AI Health Care Odyssey: A Historical Expedition – Arjun Manrai, PhD, HMS

5. A Look Into the Black Box: Technical Background for Clinicians – Maha Farhat, MD, MSc

6. Nuts and Bolts: Medical Data as the Backbone of AI – Monica Agrawal, PhD

7. But I Want it Now!: Barriers to Clinical AI Implementation – Genevieve Melton-Meaux, MD, PhD

8. AI Learning Revolution: Transforming Medical Education – Adam Rodman, MD

9. AI Scribe, Medical Chatbot, and More! – Zachary Lipton, PhD

10. How Can I Help You?: Clinical Decision Support – Natalie Pageler, MD, Stanford

11. AI as a Crystal Ball: Revolutionizing Risk Stratification – Ziad Obermeyer, MD, Berkeley

1. Welcome – Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD

2. Keynote: Ethics and AI in Health Care – Rebecca Weintraub Brendel, MD, JD, HMS-MGB

3. Law and Regulation in AI – Glenn Cohen, JD

4. AI for Pioneering Leadership in the Digital Era – Stanley Shaw, MD, PhD

5. Money Talks: How AI Can Help You Improve Revenue – Jean-Claude Saghbini

6. AI and Reducing Physician Burnout – Jane Moran

7. How AI and ML are Driving Innovation in Biomedicine – Collin Stultz, MD, PhD

8. A Picture is Worth A Million Words: AI and Image Processing – Constance Leman, MD, PhD

9. Unlocking Drug Discovery: AI’s Pharmaceutical Frontier – Vikram Khurana, MD, PhD

10. Precision Medicine: AI and Personalized Treatment in Oncology – Eli Van Allen, MD

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