Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphs

These results suggest that knowledge-guided attention and sign-based explanations can enhance interpretability and recall in chest X-ray classification models. Future work will extend the framework toward report generation and prospective clinical evaluation.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2026-03-14
DOI
https://doi.org/10.1016/j.cmpb.2026.109313
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
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article

Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphs

Manuel Cieri, Fabio Palomba
Computer Methods and Programs in Biomedicine
Advanced Graph Neural Networks
article

Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphs

Manuel Cieri, Fabio Palomba
article en

Abstract

These results suggest that knowledge-guided attention and sign-based explanations can enhance interpretability and recall in chest X-ray classification models. Future work will extend the framework toward report generation and prospective clinical evaluation.

Computer Methods and Programs in BiomedicineVol. 280
University of Salerno (IT)
Gender equality
Openalex Percentile: Top 25%
Advanced Graph Neural Networks
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