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From Poetry to Precision: Dr. Matthew Lungren’s AI Healthcare Revolution

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Manage episode 463491506 series 2878168
Content provided by UCSF Rosenman Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCSF Rosenman Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dr. Matthew Lungren’s journey is a testament to the transformative power of empathy, curiosity, and innovation. Starting as an English major, his career took a pivotal turn while volunteering at a Kosovo refugee camp, where he discovered the profound impact of combining knowledge, data, and compassion to address healthcare challenges—particularly in underserved communities.

Dr. Lungren earned his MD and MPH, practiced as an interventional radiologist, and became a prominent leader in medical AI. At Stanford, he directed the Center for Artificial Intelligence in Medicine and Imaging (AIMI), contributing to over 200 publications on groundbreaking research in multi-modal data fusion, computer vision, and natural language processing for healthcare applications. His influence extends beyond academia through his work at Amazon, his popular Stanford Coursera course on machine learning in healthcare, and his current role as Chief Scientific Officer for Microsoft Health & Life Sciences. Dr. Lungren also maintains a part-time clinical practice at UCSF and holds an adjunct professorship at Stanford University, demonstrating his commitment to patient care and mentorship.

In this episode, Dr. Lungren explores the integration of AI into healthcare, offering insights on reducing physician burnout, uncovering new patient data insights, and building a more equitable and innovative future for healthcare.

Do you have thoughts on this episode or suggestions for future guests? We’d love to hear from you. Email us at [email protected].

  continue reading

241 episodes

Artwork
iconShare
 
Manage episode 463491506 series 2878168
Content provided by UCSF Rosenman Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCSF Rosenman Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dr. Matthew Lungren’s journey is a testament to the transformative power of empathy, curiosity, and innovation. Starting as an English major, his career took a pivotal turn while volunteering at a Kosovo refugee camp, where he discovered the profound impact of combining knowledge, data, and compassion to address healthcare challenges—particularly in underserved communities.

Dr. Lungren earned his MD and MPH, practiced as an interventional radiologist, and became a prominent leader in medical AI. At Stanford, he directed the Center for Artificial Intelligence in Medicine and Imaging (AIMI), contributing to over 200 publications on groundbreaking research in multi-modal data fusion, computer vision, and natural language processing for healthcare applications. His influence extends beyond academia through his work at Amazon, his popular Stanford Coursera course on machine learning in healthcare, and his current role as Chief Scientific Officer for Microsoft Health & Life Sciences. Dr. Lungren also maintains a part-time clinical practice at UCSF and holds an adjunct professorship at Stanford University, demonstrating his commitment to patient care and mentorship.

In this episode, Dr. Lungren explores the integration of AI into healthcare, offering insights on reducing physician burnout, uncovering new patient data insights, and building a more equitable and innovative future for healthcare.

Do you have thoughts on this episode or suggestions for future guests? We’d love to hear from you. Email us at [email protected].

  continue reading

241 episodes

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