AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images

The findings of this diagnostic study of patients suspected of harboring prostate cancer suggest that AI assistance was associated with improved radiologic diagnosis of clinically significant disease. Further research is required to investigate the generalization of outcomes and effects on workflow improvement within prospective settings.

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Publication Details

Journal
JAMA Network Open
Published
2025-06-13
DOI
https://doi.org/10.1001/jamanetworkopen.2025.15672
Citations
18
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
27.33
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article

AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images

Georgios Agrotis, H. Raat, Rūta Grigienė, Arnaldo Stanzione et al.
18 citations
JAMA Network Open
Prostate Cancer Diagnosis and Treatment
27.33
article

AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images

Georgios Agrotis, H. Raat, Rūta Grigienė, Arnaldo Stanzione, Geert Villeirs, Samuel J. Withey, Joeran S. Bosma, Giacomo Avesani, Anders Bjartell, Roderick van den Bergh, Leonardo Kayat Bittencourt, Anindo Saha, Paolo Niccolò Franco, Varaha S. Tammisetti, Hilal Şahin, Selahattin Durmaz, Jasper J. Twilt, Ailin Dehghanpour, Olivier Rouvière, David Bonekamp, Cindy Mai, Valeria Panebianco, Christopher R. Page, Maria Eduarda Viana leite da Silva, Tristan Barrett, Jelle O. Barentsz, Gianluca Giannarini, Klaus Maier‐Hein, Bodil Ginnerup Pedersen, Moon Hyung Choi, Fredrik Jäderling, Deniz Alış, Valerio Forte, Ana Sofia Linhares Moreira, Jayashree Kalpathy–Cramer, Merve Şam Özdemir, Giorgio Brembilla, Anwar R. Padhani, Paulo Santos Correia, Jurgen J. Fütterer, Veeru Kasivisvanathan, Jeries Paolo Zawaideh, Mirabela Rusu, Francesco Alessandrino, Enrico Camisassa, Pieter De Visschere, Bart De Keyzer, Tommaso Russo, Giuseppina Maura Francese, Renato Cuocolo, Petr Hanuš, Misbah Khurram, Yuki Arita, Ricardo Oliveira Falcão, Raimondo Gabriele, Rogier S. A. van Stiphout, Federica Martini, Derya Yakar, Iztok Caglič, Rossano Girometti, Ivo G. Schoots, Henkjan Huisman, Jeroen Veltman, Mattijs Elschot, Verena Carola Obmann, Maarten de Rooij, Nancy A. Obuchowski, Yesim Yekta Yürük, Stanislau Carlos dos Santos, Yu-Cherng Chang, Matilde L.R.R. Gonçalves, Luigi Mannacio, Rūta Briedienė, Andrea Ponsiglione, William L. Weston, Yan Mee Law, A. Cazzato, Georg Salomon, Afsoun Malakoti-Fard, Dirk Versteegden, Ewout C. Staal, Michael Nahouraii, Pedro R.R. Riesenberger, Ramette Guillaume Guillaume
article en
18 citations

Abstract

The findings of this diagnostic study of patients suspected of harboring prostate cancer suggest that AI assistance was associated with improved radiologic diagnosis of clinically significant disease. Further research is required to investigate the generalization of outcomes and effects on workflow improvement within prospective settings.

JAMA Network OpenVol. 8(6)
Cleveland Clinic (US), University Medical Center Groningen (NL), Radboud University Nijmegen (NL), German Cancer Research Center (DE), Norwegian University of Science and Technology (NO), Erasmus MC (NL), Radboud University Medical Center (NL), The Netherlands Cancer Institute (NL), St Olav's University Hospital (NO), Cicatelli Associates (US), Mount Vernon Cancer Centre (GB), Prostate Cancer Research (GB), Oncode Institute (NL), Ospedale Santa Maria della Misericordia di Udine (IT), Ziekenhuis Groep Twente (NL), DKFZ-ZMBH Alliance (DE), University College London (GB), University of Twente (NL)
Partnerships for the goals
Openalex Percentile: Top 0%
Prostate Cancer Diagnosis and Treatment
27.33
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