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Author

V. Baskaradoss

2 papers indexed here

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Open access Aug 2026

Clinical selectivity and failure modes of automated chest radiograph report evaluation metrics: a cross-dataset analysis of ReXErr-v1 and RadEvalX

Objectives: To test whether radiology report evaluation metrics distinguish clinically meaningful errors from textual changes and align with radiologist-assessed error burden. Methods: Cross-dataset evaluation used ReXErr-v1 (2,708 report pairs; 5,724 paired error sentences) and 100 RadEvalX report pairs with expert er...

J. Naidu, S. Muralidharan, A. Prashani et al. · 0 citations
#federated learning Review Open access Sep 2026

Artificial intelligence and radiomics in lung cancer: from imaging to clinical care

Artificial intelligence (AI) and radiomics have emerged as promising approaches in lung-cancer imaging by extracting quantitative features from routine medical images beyond visual assessment alone. Proof-of-concept studies span pulmonary nodule characterisation, molecular biomarker prediction, treatment-response asses...

J. Naidu, V. Baskaradoss · 0 citations

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