Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-06-14 DOI:10.1038/s41746-025-01764-2

Aida Brankovic, David Cook, Jessica Rahman, Alana Delaforce, Jane Li, Farah Magrabi, Federico Cabitza, Enrico Coiera, DanaKai Bradford

引用次数: 0

Abstract

The rapid growth of clinical explainable AI (XAI) models raised concerns over unclear purposes and false hope regarding explanations. Currently, no standardised metrics exist for XAI evaluation. We developed a clinician-informed, 14-item checklist including clinical, machine and decision attributes. This is the first step toward XAI standardisation and transparent reporting XAI methods to enhance trust, reduce risks, foster AI adoption, and improve decisions to determine the true clinical potential of applied XAI.

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临床医生知情的XAI评估清单和指标（CLIX-M），用于人工智能临床决策支持系统

临床可解释人工智能（XAI）模型的快速发展引发了人们对目的不明确和对解释抱有虚假希望的担忧。目前，还没有用于XAI评估的标准化度量标准。我们开发了一个临床医生知情，14项清单，包括临床，机器和决策属性。这是实现XAI标准化和透明报告XAI方法的第一步，以增强信任，降低风险，促进人工智能的采用，并改善决策，以确定应用XAI的真正临床潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.