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
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.
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