This publication presents the preregistration of the PANORAMA study protocol, including the BIAS checklist for transparent reporting of biomedical image analysis challenges. The PANORAMA study is a new prospectively designed multi-center study to assess the performance of both radiologists and AI at PDAC detection in routine abdominal CECT scans. PANORAMA’s goals are threefold: To establish the clinical baseline performance of radiologists at PDAC detection through a large-scale, international reader study To establish the state-of-the-art AI performance at PDAC detection through an international AI grand-challenge To compare AI and radiologists, with the end goal of obtaining substantial evidence to start implementing AI to help find PDAC earlier Key aspects of the PANORAMA study protocol have been established in conjunction with an international scientific advisory board of 13 multidisciplinary experts on pancreas AI, clinical workflows, and statistics, as well as a patient representative, to ensure the development and validation of meaningful AI towards clinical translation (Reinke et al., 2021).