AI Assisted Screening for VHD Using Routine Chest CT Scans

Plain-language summary

This is a prospective, multicenter study designed to develop and validate a deep learning model for screening valvular heart diseases using routine, non-contrast chest computed tomography (CT) scans. The primary objective is to evaluate the model's diagnostic performance, with the sensitivity serving as the primary efficacy endpoint. Secondary endpoints will include other performance metrics such as area under the receiver operating characteristic curve (AUC), specificity, and accuracy, etc.

Who can participate

What they're measuring

Trial details