Learn more about Stanford's online Healthcare AI programs: https://stanford.io/3NEt7uE Check out the AI in Healthcare series playlist:https://stanford.io/3NEt7uE Matt Lungren, Stanford University - https://profiles.stanford.edu/matthew-lungren Justin Norden, Stanford University - https://profiles.stanford.edu/justin-norden Guest speaker: DJ Patil, former US Chief Data Scientist and Health Tech Entrepreneur This episode of the Stanford Healthcare AI podcast explores how AI is transforming healthcare security, policy, and patient empowerment. The guest, DJ Patil, former U.S. Chief Data Scientist and health tech entrepreneur, warns that hospitals are “sitting targets” for cyberattacks from nation-states using even “dumb” AI models. They discuss gaps in U.S. cybersecurity ownership, the need to treat healthcare as critical infrastructure, and the risks of ransomware-style “terrorism.” Balancing this, they highlight the explosive growth of tools like Open Evidence and GPT for clinicians, rising patient engagement, and the moral question of whether powerful AI should be gated or widely accessible.
Learn more about Stanford's online Healthcare AI programs: https://stanford.io/3NEt7uE
Check out the AI in Healthcare series playlist:https://stanford.io/3NEt7uE
Matt Lungren, Stanford University - https://profiles.stanford.edu/matthew-lungren
Justin Norden, Stanford University - https://profiles.stanford.edu/justin-norden
Guest speaker: DJ Patil, former US Chief Data Scientist and Health Tech Entrepreneur
This episode of the Stanford Healthcare AI podcast explores how AI is transforming healthcare security, policy, and patient empowerment. The guest, DJ Patil, former U.S. Chief Data Scientist and health tech entrepreneur, warns that hospitals are “sitting targets” for cyberattacks from nation-states using even “dumb” AI models. They discuss gaps in U.S. cybersecurity ownership, the need to treat healthcare as critical infrastructure, and the risks of ransomware-style “terrorism.” Balancing this, they highlight the explosive growth of tools like Open Evidence and GPT for clinicians, rising patient engagement, and the moral question of whether powerful AI should be gated or widely accessible.