Most physicians using AI on patient data have no idea what the real security risks are. Francisco M. Torres, an interventional physiatrist, and Purab Patel, a medical student with a programming background, argue that cybersecurity has become a patient safety issue in medicine, and that the AI pipelines physicians now rely on are more complex than most clinicians realize. This episode is based on their article "Navigating the cybersecurity challenges of artificial intelligence in medicine," published on KevinMD. You will hear how changing a few pixels in a medical image can flip an AI diagnosis, why AI note-taking can miss clinically significant findings, and what questions to ask any vendor before trusting a black box with patient data. You will also learn why Francisco tells his kids that AI certification may matter more than an MBA. Listen for a grounded take on treating AI as a tool, not a truth machine.

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