Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers

Autor:	Ali Forookhi, Ludovica Laschena, Martina Pecoraro, Antonella Borrelli, Michele Massaro, Ailin Dehghanpour, Stefano Cipollari, Carlo Catalano, Valeria Panebianco
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	learning curve Artificial Intelligence Radiology Nuclear Medicine and imaging General Medicine PI-QUAL prostate cancer Magnetic Resonance Imaging PI-RADS
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::622f87fad7f45266a089ab0b6dcdbf62 https://hdl.handle.net/11573/1671704 Zobrazit plný text záznamu