VICCA: Visual interpretation and comprehension of chest X-ray anomalies in generated report without human feedback

As artificial intelligence (AI) becomes increasingly central to healthcare, the demand for explainable and trustworthy models is paramount. Current report generation systems for chest X-rays (CXR) often lack mechanisms for validating outputs without expert oversight, raising concerns about reliabili...

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Bibliographic Details
Main Authors: Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000672
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