U.S., March 13 -- ClinicalTrials.gov registry received information related to the study (NCT07468357) titled 'Human-AI Uncertainty Callibration for Improved Skin Lesion Segmentation' on Jan. 29.
Brief Summary: The goal of this randomized controlled study is to compare the effect of a new, personalized uncertainty-aware decision model (FDM) to a standard image recognition model in improving the diagnostic accuracy while reducing diagnostic uncertainty in experienced dermatologists tasked with differentiating between melanomas, moles and other benign skin lesions. The main question it aims to answer: Is the FDM a feasible method for an improved human AI partnership in which trust is build, misdiagnoses are avoided, and uncertainty is duly in...