As AI systems rapidly advance and enhance data processing, experts are taking note of their surprising capabilities. But what does this sudden explosion of AI mean for modern society? What vulnerabilities should we be watching for? Dr. Matthew Lungren joins the podcast to shed light on this ever-changing landscape…

This discussion covers:

• Why 2023 was the tipping point for AI applications.

• The difference between “narrow” and “generative” AI.

• How AI has taught itself various useful functions.

• The ways that AI can automate complex, text-based workflows.

Dr. Lungren is the Chief Scientific Officer for Microsoft Health & Life Sciences. Currently, his work focuses on translating cutting-edge technology into innovative healthcare applications. As a physician and clinical machine learning researcher, he holds ongoing collaborative research and teaching roles as an adjunct professor at Stanford University.

Dr. Lungren is the author of over 200 publications, with work spanning multi-modal data fusion, computer vision and NLP in healthcare, machine learning for public health screening, generative AI applications in medicine, and more. He also has experience advising early-stage startups and Fortune 500 companies on healthcare AI development and unique market strategies. His work has been featured by NPR, Vice News, and Scientific American, and he is a regular speaker at leading national and international conferences on AI in healthcare.

Follow along with Dr. Lungren’s work on X @mattlungrenMD!

Episode also available on Apple Podcasts: http://apple.co/30PvU9C

Keep up with Matthew Lungren socials here:

Tiktok: https://www.tiktok.com/@dr.mattlungren 

Instagram: https://www.instagram.com/matt_lungren/ 

YouTube: https://www.youtube.com/@mattlungrenmd 

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