Primary Outcomes Published in The Lancet Oncology

Our paper, titled "Artificial Intelligence and Radiologists in Prostate Cancer Detection on MRI (PI-CAI): An International, Paired, Non-Inferiority, Confirmatory Study", has just been published in The Lancet Oncology: https://bit.ly/pi-cai-. An editorial has been presented by Dr. Martin Eklund: https://lnkd.in/duW2-evJ. In summary:

𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 + 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 👩‍⚕️🧑‍💻 Over the past two years, PI-CAI served as a global community-wide initiative that was able to mobilize and engage 129 radiologists, AI developers and researchers in prostate oncology, towards the common goals of a single large-scale confirmatory study —and one that was conducted under the oversight of 17 multidisciplinary scientific experts in this domain, with endorsements from the European Association of Urology (EAU), the European Society of Urogenital Radiology (ESUR), the MICCAI Society, and the MIDL Foundation.

𝗢𝗽𝗲𝗻 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 ⚛️ We have publicly released our source code for statistical analysis, the trained AI system developed in this study, a subset of 1500 multi-center, multi-vendor cases from the training dataset (with the means to access the full training dataset of 9107 cases) and the means for independent researchers to benchmark their AI systems across the hidden tuning and testing cohorts of 1100 cases in a fully blinded, standardized manner —to promote reproducibility, transparency and facilitate future research.

𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗙𝗶𝗻𝗱𝗶𝗻𝗴𝘀 🩻 We provided level 2b evidence that an AI system (developed in parts by five teams based in France, United States, China, Australia and Turkey), was statistically superior to a pool of 62 radiologists (45 centers, 20 countries) in an international reader study, and comparable to the standard of care in routine practice (where multidisciplinary patient history and peer consultation were available) at detecting MRI examinations with clinically significant prostate cancers. A clinical trial is now required to determine if such a system translates to improvements in workflow efficiency, healthcare equity and patient outcomes.

The study was sponsored by Amazon Web Services (AWS) and the overall project has been funded, in parts, by the European Commission Horizon 2020: ProCAncer-I project and Health~Holland.

On behalf of the whole team, thank you all for your time and participation!