S126 - Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI - The PI-CAI Challenge

Anindo Saha, Joeran Bosma, Jasper Twilt, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen Fütterer, Maarten de Rooij, henkjan huisman

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We hypothesized that state-of-the-art AI models, trained using thousands of patient cases, are non-inferior to radiologists at clinically significant prostate cancer diagnosis using MRI. To test the same, we designed an international comparative study titled the PI-CAI challenge, where we investigated AI models that were independently developed, trained and externally tested using a large multi-center cohort of 10,207 patient exams. Preliminary results indicate that when trained on 1,500 cases only, such models already achieve diagnostic performance comparable to that of radiologists reported in literature.
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Schedule: Monday, July 10: MIDL board special session — 10:30–11:00
Wednesday, July 12: Posters — 10:15–12:00 & 15:00–16:00
Poster location: W43