U.S., June 17 -- ClinicalTrials.gov registry received information related to the study (NCT07651644) titled 'Two-component Radiology-guided Autonomous Cascade Engine (TRACE)' on June 11.

Brief Summary: This study employed a prospective, randomised crossover trial design to evaluate the clinical utility of the TRACE artificial intelligence system for gastric cancer T-staging. A total of 54 radiologists from tertiary and non-tertiary hospitals, including both senior and junior practitioners, were enrolled. The study aimed to investigate whether AI-assisted diagnosis could improve the diagnostic accuracy of gastric cancer T-staging compared with independent interpretation by radiologists.

All participants were required to interpret 60 contra...