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Author

G. Agrotis

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Open access Oct 2026

Critical appraisal of artificial intelligence studies for prostate cancer detection on MRI.

The application of artificial intelligence (AI) to prostate MRI for clinically significant prostate cancer (csPCa) detection is an active area of medical imaging research. Yet, methodological deficiencies can undermine the reliability and clinical translatability of many published studies. This perspective provides a s...

Eduardo H. P. Pooch, Georgios Agrotis, Ivo G. Schoots et al. · 0 citations
#explainable ai Open access Sep 2026

Current status and future directions of AI in prostate cancer detection on MRI: a special report from the ESUR prostate MRI working group authors.

The gap between AI's research promise and clinical readiness is highlighted, which underscores the need for localvalidation, post-market surveillance, and adequate user training as AI tools become incorporated into diagnostic prostate MRI workflows.

Renato Cuocolo, A. Ponsiglione, G. Agrotis et al. · 0 citations

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