ACM ByteCast

Regina Barzilay - Episode 44

Oct 4, 2023

Regina Barzilay, School of Engineering Distinguished Professor of AI & Health at MIT, discusses her journey to develop an AI-based system for early detection of breast cancer. She explores challenges in clinical AI and the promise of ChatGPT in healthcare. She also addresses the need to mitigate inequity in medicine while advancing clinical AI.

45:45

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Regina Barzilay

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Quick takeaways

Dr. Regina Barzilay's personal experience with breast cancer motivated her to focus on applying AI to improve cancer treatment and medical informatics.

The field of AI in healthcare faces challenges in adoption, including slow speed and regulatory barriers, but collaboration and active involvement in regulatory processes can drive progress.

Deep dives

Importance of Interdisciplinary Collaboration in AI and Healthcare

The podcast episode highlights the collaboration between ACM Bikas and AMIA to explore the intersection of computing research and healthcare. The episode emphasizes the need for interdisciplinary collaboration between researchers, practitioners, and innovators in AI and health. The guests discuss their experiences, career paths, and the lessons learned for achieving health equity and advancing the field of computing in healthcare.

Introduction

2min

Advancing AI in Healthcare: Challenges and Progress

14min

The Impact of Generative AI in Healthcare and Improving Communication

3min

Limitations of Language Models and the Need for Improved Uncertainty Estimation

3min

Integrating AI into Healthcare for Better Services

22min

Highlights on AI Evaluation Showcase and the Personal Side of Healthcare

3min

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)’s For Your Informatics podcast, hosts Sabrina Hsueh and Adela Grando welcome Regina Barzilay, a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science at the Massachusetts Institute of Technology and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, and the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Regina is a member of the National Academy of Engineering and American Academy of Arts and Sciences.

Regina describes her career journey, and how a personal experience with the healthcare system led her to work on an AI-based system for the early detection—and prediction of—breast cancer. She explains why entering the interdisciplinary field of clinical AI is so challenging and offers valuable advice on how to overcome some of these challenges. Regina also opines on new models for using AI, including the promise of ChatGPT in healthcare. Finally, she talks about inequity in medicine, and offers actionable insights on how to mitigate these shortfalls while moving the field of clinical AI forward.

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ACM ByteCast

Regina Barzilay - Episode 44

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Importance of Interdisciplinary Collaboration in AI and Healthcare

Personal Journey and Motivation for AI in Healthcare

Challenges in the Adoption of AI in Healthcare

Addressing Health Equity and Bias in AI

Remember Everything You Learn from Podcasts