English(EN) From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy

临床AI信任框架强调证据、监督和分阶段自主性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-29 13:40

一个新框架提出，临床AI的信任应成为一个可衡量的系统属性，而不仅仅基于准确性或用户印象。该方法结合了一个确定性核心和一个用于验证的AI助手、一个升级机制以及人工监督。该系统旨在通过源自计量学的可量化指标来操作化信任，重点关注证据、监督和分阶段自主性。 AI

影响提出了一种构建临床AI系统信任的新架构方法，超越了简单的准确性指标。

排序理由学术论文，提出了一个关于临床AI信任的新框架。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CL TIER_1 English(EN) · Serhii Zabolotnii, Viktoriia Holinko, Olha Antonenko · 2026-04-30 04:00

从黑箱置信到临床AI可衡量的信任：一个关于证据、监督和分阶段自主性的框架

arXiv:2604.26671v1 Announce Type: new Abstract: Trust in clinical artificial intelligence (AI) cannot be reduced to model accuracy, fluency of generation, or overall positive user impression. In medicine, trust must be engineered as a measurable system property grounded in eviden…
arXiv cs.CL TIER_1 English(EN) · Olha Antonenko · 2026-04-29 13:40

从黑箱置信到临床AI可衡量的信任：一个关于证据、监督和分阶段自主性的框架

Trust in clinical artificial intelligence (AI) cannot be reduced to model accuracy, fluency of generation, or overall positive user impression. In medicine, trust must be engineered as a measurable system property grounded in evidence, supervision, and operational boundaries of A…