论文精选
临床AI采用的关键：校准不确定性与主动回避
Why Calibrated Uncertainty and Deliberate Abstention Drive True Clinical AI Adoption
精选理由
临床AI要真正用起来，得解决置信度问题。不是简单显示概率，而是要校准不确定性，让医生知道模型什么时候该主动回避，这样才敢信任。
临床AI系统常将置信度视为已解决。模型输出概率，界面显示百分比，可靠性要求被勾选。但几周后，数字就成摆设。医生面对一长串带置信度百分比的代码建议时，都清楚这个模式：系统过于自信，缺乏主动回避能力，导致临床决策时难以信任。
原文 · HIT Consultant
Why Calibrated Uncertainty and Deliberate Abstention Drive True Clinical AI Adoption
Most teams building AI systems treat confidence as a solved problem. The model produces a probability, the interface displays it, and the reliability requirement gets checked off. Within weeks, the number becomes furniture. Anyone who has watched a clinician work through a queue of suggested codes, each stamped with a confidence percentage, knows the pattern: ... Read More
