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AI Frontiers with James Zou: The Future of Multi-Modal AI in Medicine
Manage episode 402161339 series 3464196
Contenu fourni par NEJM Group. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par NEJM Group ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In this episode of the AI Grand Rounds podcast, Dr. James Zou shares his personal journey to discovering machine learning during his graduate studies at Harvard. Fascinated by the potential of AI and its application to genomics and medicine, Dr. Zou embarked on a journey that took him from journalism to the forefront of AI research. He has been instrumental at Stanford in translating machine learning advancements into clinical settings, particularly through genomics. The discussion also delves into the unique use of social media for gathering medical data, showcasing an innovative approach to AI model training with real-world medical discussions. Dr. Zou touches on the ethical implications of AI, the importance of responsible AI development, and the potential of language models like GPT-4 in medicine, despite the challenges of model drift and alignment with human preferences.
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Manage episode 402161339 series 3464196
Contenu fourni par NEJM Group. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par NEJM Group ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In this episode of the AI Grand Rounds podcast, Dr. James Zou shares his personal journey to discovering machine learning during his graduate studies at Harvard. Fascinated by the potential of AI and its application to genomics and medicine, Dr. Zou embarked on a journey that took him from journalism to the forefront of AI research. He has been instrumental at Stanford in translating machine learning advancements into clinical settings, particularly through genomics. The discussion also delves into the unique use of social media for gathering medical data, showcasing an innovative approach to AI model training with real-world medical discussions. Dr. Zou touches on the ethical implications of AI, the importance of responsible AI development, and the potential of language models like GPT-4 in medicine, despite the challenges of model drift and alignment with human preferences.
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