Many people have no idea what their risk is—until it's too late.
AI model doubles accuracy in predicting heart disease risk, according to the author of the study. SAN DIEGO (KGTV) - A new "meta prediction model" developed by researchers at Scripps Research in La ...
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 ...
More than 70% of people over 70 years old will one day develop cardiovascular disease, highlighting the need for effective diagnosis, treatment, and care for this population. Subscribe to our ...
Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
Doctors are already pretty good at predicting heart disease risk among healthy people, but a new study shows they could more accurately identify those at highest risk by adding a coronary artery ...
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