Article | Jan 7, 2025 This study highlights the use of a convolutional neural network (CNN) [ Us2.ai ] to measure key thoracic aortic parameters—LVOT, SoV, STJ, and pAA—in Aortic Stenosis (AS) patients. The CNN demonstrated comparability to cardiologist measurements on transthoracic echocardiography (TTE) and computed tomographic angiography (CTA). With its ability to deliver rapid and highly reproducible measurements, CNN technology holds promise for enhancing echocardiogra

Article | Dec 2, 2024 Digital tools, including AI-based tools, holds great potential to reshape the design and execution of cardiovascular clinical trials. In this review published in the European Heart Journal , the authors summarizes the landscape of digital tools at each stage of clinical trial planning and execution, and outlines roadblocks and opportunities for successful implementation in cardiovascular clinical trials. Opportunities for AI and Digital Tools in Cardiov

Article | Nov 27, 2024 Healthcare AI technologies have seen tremendous adoption in the medical imaging field. AI-echo’s performance has been shown to match or exceed human experts in many studies, but do we know if patients are ready to accept AI technology? In 100 patients with suspected heart failure who presented for cardiac imaging at National Heart Centre Singapore , the authors examined patients’ acceptance toward task shifting from conventional echo to AI-echo (with t