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Inside the Rise of AI in Healthcare: Open Evidence and Cyber Risks
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Inside the Rise of AI in Healthcare: Open Evidence and Cyber Risks

39 MIN · EN · STATUS: [ STREAMING ]
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STANFORD

DJ Patil, former U.S. Chief Data Scientist and health tech entrepreneur, joins Stanford's Matt Lungren and Justin Norden for a conversation on artificial intelligence and healthcare security. Patil argues hospitals are "sitting targets" for cyberattacks, including from nation-states wielding even unsophisticated AI models, and the three discuss the lack of clear ownership over U.S. healthcare cybersecurity policy and the case for treating hospitals as critical infrastructure against ransomware-style disruption. The conversation turns to the other side of the ledger: the rapid adoption of clinical tools like Open Evidence and GPT-based assistants, and growing patient use of AI to understand their own care. They close on an open policy question, whether powerful medical AI should be restricted to vetted institutions or made broadly available, weighing security risk against the benefits of wider access.