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Ep. 432 AI in Medicine: Navigating the New Frontier with Confidence with Dr. Matthew Lungren

46:54
 
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Manage episode 410778353 series 2658136
Indhold leveret af BackTable LLC. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af BackTable LLC eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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.

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.

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CHECK OUT OUR SPONSOR

Reflow Medical

https://www.reflowmedical.com/

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SHOW NOTES

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

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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

  continue reading

455 episoder

Artwork
iconDel
 
Manage episode 410778353 series 2658136
Indhold leveret af BackTable LLC. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af BackTable LLC eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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.

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.

---

CHECK OUT OUR SPONSOR

Reflow Medical

https://www.reflowmedical.com/

---

SHOW NOTES

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

  continue reading

455 episoder

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