Concurrent AI-human interaction in prostate cancer MRI interpretation: More hype than help?

20260 citationsJournal Articlegold Open Access

Authors

Andrea Ponsiglione · University of Naples Federico II

Giuseppe Costanzo · Ospedale Santa Maria

Alfonso Maria Ponsiglione · University of Naples Federico II

Ciro Riccio · University of Naples Federico II

Andrea Rinaldo · University of Naples Federico II

Anna Giacoma Tucci · Ospedale Santa Maria

Lorenzo Pinto

Abstract

Residents were most prone to PI-RADS score modifications after AI-assisted readings compared to AI-unassisted and expert readers. There was no significant difference in diagnostic performance metrics between AI-assisted and unassisted readings. A slight improvement in grade selectivity among experts and in selective biopsy avoidance among residents was observed during AI-assisted readings for biopsy recommendations.

Topics & Keywords

AI in cancer detection Artificial Intelligence in Healthcare and Education Prostate Cancer Diagnosis and Treatment

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: European Radiology Experimental

Volume 10, Issue 1

DOI: 10.1186/s41747-026-00695-1

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