Concurrent Patient Evidence for Benchmarking in Radiomics

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Jiang et al conducted a systematic review and meta-analysis on radiomics-based AI for predicting pathological response in non-small cell lung cancer.
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The study found that while pooled discrimination is encouraging, its clinical applicability is limited due to the study population's specific criteria.
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AI sensitivity was higher than conventional criteria, but specificity was lower, indicating a trade-off in diagnostic accuracy.
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The meta-analysis excluded patients who could not undergo surgery, limiting its relevance to early treatment redirection.
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Future studies should compare AI with conventional methods in identical patients to evaluate the potential improvement in decision-making.

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