At a glance
ClinicalIndex Comparison RecordStandardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Evaluation of TaiHao Breast Ultrasound Diagnosis Software
In Brief
A clinical study evaluating Reader Group X - Session 1, Reader Group Y - Session 1, and 2 other interventions for Breast Cancer and Breast Diseases. Completed, enrolled 16 participants across 1 site.
Detailed Summary
The BR-USCAD DS Module is a computer-assisted detection and diagnosis software based on a deep learning algorithm. This retrospective, fully-crossed, multi-reader, multi-case (MRMC) study aims to compare the performances of readers without and with the aid of the Breast Ultrasound Image Reviewed with Assistance of Computer-Assisted Detection and Diagnosis System (BR-USCAD DS) in interpreting breast ultrasound images of lesions.
Study Details
Timeline
Interventions
Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS.
Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS.
Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS.
Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS.