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.
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 ...
Big Tech is bringing AI into the health care industry, but medical machine models carry risks to privacy and patient safety.
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 ...
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 ...
An artificial intelligence-based video biomarker can accurately identify those who might develop or have rapidly worsening aortic stenosis.
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 ...
AI is here, and it has gigantic potential to bring us more accurate diagnoses and treatments—but it may also dehumanize ...
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 ...
New AI tools can catch breast cancer early and ... The duo of breakthroughs offer hope for the 55,000 British women diagnosed with the disease every year. One of the tools, being tested ...
As the disease leads to serious complications such as heart insufficiency and ... It was found that scintigraphy patients in ...