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Sekdusit Aekgawong

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Open access Aug 2026

EXPLAINABLE MACHINE LEARNING FOR NON-INVASIVE PROSTATE CANCER DETECTION USING SIGNAL-DERIVED VOC FEATURES

The present study aimed to develop an explainable artificial intelligence (AI) model by using urinary volatile organic compound (VOC) profiles for non-invasive prostate cancer (PCa) detection. A total of 123 participants were included: 29 with PCa, 67 with benign prostatic hyperplasia (BPH), and 27 healthy controls. Ur...

Settawut Chalermwat, Chatiwat Piyarom, W. Anakkamatee et al. · 0 citations

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