Integrating male sex, RBBB, and haemoglobin and glucose levels into the HEART score improves its ability to predict significant coronary artery disease on CCTA in the emergency department setting.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results