aiDotEngineer讲了医疗里替代依赖模型的做法，教你怎么用机制保障安全，和传统医疗流程比更可靠。
医疗场景里，若成员提自伤或急性情况，代码绕过模型直拨911，模型没看到过程；用LLM模拟患者后，真实患者觉得更像真人，这是四组盲测得出的结论；每天处理10000次通话时，1%错误率会让每日出现100次错误安排；Clinicians能识别虚假数据的概率达60%，且ECRI将AI聊天滥用列为2026年医疗技术第一大隐患。
Ten teams on what you do instead of trusting the model: - A member mentioning self harm or an acute...
Ten teams on what you do instead of trusting the model: - A member mentioning self harm or an acute emergency is routed to 911 by code that runs above the model. The model never even sees the turn - You cannot A/B test on patients and you cannot roll back a phone call. So an LLM plays the patient first, and real patients rated the simulated one more human in three of four blind sets - 31 models run on every Hippocratic call: one leads, 30 specialists decide turn by turn whether to speak. At 10,000 calls a day, a 1 percent error rate is 100 wrong appointments, daily - Anterior cannot keep medical records even anonymized, so 90 percent of its eval data is generated backward from policy decision trees. Clinicians spot the fakes about 60 percent of the time - ECRI, the patient safety group hospitals use to rank risk, named AI chatbot misuse the number one health technology hazard of 2026. These ten talks are what shipping against that looks like Watch the AI in Healthcare playlist: youtube.com/watch?v=u6q-by… 💬 0 🔄 1 ❤️ 2 👀 524 📊 1 ⚡