Healthcare AI must be explainable to gain clinician confidence
Published on: Sept. 19, 2025, 10:51 p.m. | Source: Devdiscourse
The review documents a sharp increase in healthcare XAI research since 2018, reflecting the surge of machine learning adoption in diagnostics, clinical support, and digital health platforms. Thematic mapping reveals that interpretability, explainability, transparency, and trustworthiness are the central concerns driving this field. These priorities highlight a clear shift from algorithmic performance alone toward usability and clinician confidence.
