They and their colleagues recently published a study in JAMA Cardiology that argues AI could be suitable for predicting aortic stenosis, or the narrowing of the valve that connects the heart to the ...
A team of researchers have developed an artificial intelligence (AI) tool that can predict a ... Common causes include heart disease, electrolyte imbalances, structural abnormalities, thyroid ...
In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm ... areas of high disease burden and clinical ...
As the disease leads to serious complications such as heart insufficiency and ... It was found that scintigraphy patients in ...
Big Tech is rushing out apps to help diagnose illness, prescribe drugs, and track your medical history — but can an algorithm ...
As the disease leads to serious complications such as heart insufficiency and ... It was found that scintigraphy patients in whom the AI system predicts cardiac amyloidosis have twice the risk ...
Longenecker said AI may also help doctors learn more about the critical characteristics of rheumatic heart disease. “AI can work like a doctor and potentially add something to what a doctor does ...
AI is here, and it has gigantic potential to bring us more accurate diagnoses and treatments—but it may also dehumanize ...
While clinical applications for AI have increased in recent years, the use of AI in pediatric congenital heart disease (CHD) is limited. The goal of this systematic review was to assess how AI is ...
An AI-powered alert system at Stanford Hospital is predicting which patients are in decline and keeping them from the ICU.
Their findings, published in the European Heart Journal today (Thursday), show that these factors can predict 63% of the variation in the risk of coronary heart disease from one area to another.