Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 40517152.
- Also identified by DOI 10.1038/s41746-025-01764-2 and PMC identifier 12167368.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.