Explainable AI in healthcare: a systematic review of XAI use cases in imaging, diagnostics, and rehabilitation

BackgroundExplainable artificial intelligence (XAI) is used in healthcare to make machine-learning outputs more transparent and clinically usable. This is important because many machine learning models work like a “black box” which can hide bias, reduce trust in the model. XAI addresses this problem...

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Autori principali:	Apoorva Aravindkumar, Marimuthu Ramadoss, Saqhibuddeen Ahmed Fakhruddin Ahmed, Vidhya Sampath, Kishor Lakshminarayanan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-04-01
Serie:	Frontiers in Artificial Intelligence
Soggetti:	clinical diagnosis explainable artificial intelligence (XAI) Grad-CAM LIME medical imaging rehabilitation
Accesso online:	https://www.frontiersin.org/articles/10.3389/frai.2026.1749527/full
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