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BackTable / VI / Podcast / Episode #432

AI in Medicine: Navigating the New Frontier with Confidence

with Dr. Matthew Lungren

In this episode, Dr. Matthew Lungren discusses the transformative potential of Artificial Intelligence (AI) in healthcare, sharing insights into large language models, deep learning, and machine learning in improving patient care, enhancing clinical workflows, and optimizing medical research.

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AI in Medicine: Navigating the New Frontier with Confidence with Dr. Matthew Lungren on the BackTable VI Podcast)
Ep 432 AI in Medicine: Navigating the New Frontier with Confidence with Dr. Matthew Lungren
00:00 / 01:04

BackTable, LLC (Producer). (2024, April 5). Ep. 432 – AI in Medicine: Navigating the New Frontier with Confidence [Audio podcast]. Retrieved from https://www.backtable.com

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Podcast Contributors

Dr. Matthew Lungren discusses AI in Medicine: Navigating the New Frontier with Confidence on the BackTable 432 Podcast

Dr. Matthew Lungren

Dr. Matthew Lungren is the chief data science officer of Microsoft Health & Life Sciences and a radiologist with USCSF in Palo Alto, California.

Dr. Aaron Fritts discusses AI in Medicine: Navigating the New Frontier with Confidence on the BackTable 432 Podcast

Dr. Aaron Fritts

Dr. Aaron Fritts is a Co-Founder of BackTable and a practicing interventional radiologist in Dallas, Texas.

Synopsis

Dr. Lungren is a pediatric diagnostic and interventional radiologist, and the Chief Data Science Officer at Microsoft Health and Life Sciences. He advocates for a future where AI acts as a tool for healthcare professionals, allowing them to devote more time to patient care rather than administrative tasks. Additionally, the discussion explores concerns such as AI’s impact on employment and interactions with insurance companies, while presenting resources for healthcare professionals to engage with and learn about AI technologies actively.

Timestamps

00:00 - Introduction
03:00 - The Journey to AI Expertise: Dr. Lungren’s Story
05:48 - Decoding AI: From Basics to Large Language Models
13:07 - AI’s Impact on Healthcare and Beyond
15:57 - Exploring AI’s Potential in Content Creation and Clinical Efficiency
20:22 - The Future of AI in Healthcare: Opportunities and Challenges
25:27 - Leveraging AI for Diagnostic Radiology and Beyond
27:42 - The Transformative Potential of Generative AI in Healthcare
33:40 - Addressing Concerns: AI’s Role in Insurance and Patient Advocacy
36:41 - Empowering Healthcare Professionals with AI: Practical Applications and Future Outlook

Resources

Fundamentals of Machine Learning for Healthcare - Stanford University Coursera Course: https://www.coursera.org/learn/fundamental-machine-learning-healthcare

Dr. Matt Lungren’s LinkedIn Learning Course on Generative AI:
https://www.linkedin.com/learning/an-introduction-to-how-generative-ai-will-transform-healthcare/introduction-to-generative-ai-in-healthcare

DeepLearning.AI Website (Professor Andrew Ng):
https://www.deeplearning.ai/

Fast.AI Website (Professor Jeremy Howard):
https://www.fast.ai/

Professor Jeremy Howard YouTube:
https://www.youtube.com/@howardjeremyp/featured

Healthcare Information and Management Systems Society (HIMMS) Meeting:
https://www.himssconference.com/en/homepage.html

Disclaimer: The Materials available on BackTable.com are for informational and educational purposes only and are not a substitute for the professional judgment of a healthcare professional in diagnosing and treating patients. The opinions expressed by participants of the BackTable Podcast belong solely to the participants, and do not necessarily reflect the views of BackTable.

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