U.S., Oct. 15 -- ClinicalTrials.gov registry received information related to the study (NCT07873411) titled 'AI-Based Localization and Screening of Sinus Tarsi Abnormalities on Ankle MRI' on Oct. 07.
Brief Summary: This study constructs a lightweight AI screening workflow based on sagittal fat-suppressed ankle MRI for automatic localization and normal-abnormal classification of sinus tarsi. With multi-slice feature fusion, it compares performances of different input strategies and lightweight networks. Multi-center datasets are used to validate model generalization. An MRMC (multi-reader multi-case) study is conducted to compare diagnostic performance between the model and radiologists. A web-based verification workflow is developed, and C...