Key take-awaysEarly detection of left ventricular systolic dysfunction (LVSD) can identify patients at risk of developing ...

A study recently published in the journal Cerebrovascular Diseases shows that artificial intelligence (AI) may help physicians detect a ... as prolonged heart monitoring, can be expensive ...

The risk of heart disease in people with diabetes could be reduced through artificial intelligence with a new university research project that aims to push personalised, preventative healthcare ...

How artificial intelligence is quietly fixing America’s broken health care system by removing the barriers to care for ...

Healthcare costs remain the leading cause of bankruptcy in America, with even insured patients facing devastating bills for ...

Every year, heart disease claims more than 17 million lives around the world. It remains the top cause of death, and for many, it strikes with little warning. Doctors and scientists continue searching ...

Imagine an AI model that can ... heart itself. This matters because when AI models learn race – or rather, social patterns that reflect racial inequality – without understanding context, the ...

For AI to fulfill its promise in healthcare, it needs to be employed in a manner that prioritizes patient care over mere ...

Mastercard is using AI to help detect ... and risk modeling to enable greater insight into a cardholder's purchase history, delivery information, and geographic location. This, in turn, can ...

In the quiet rhythm of your heartbeat, something unexpected might be happening—something as surprising as tasting sweetness ...

Mount Sinai researchers studying a type of heart disease ... (AI) algorithm to quickly and more specifically identify patients with the condition and flag them as high risk for greater attention ...

Magnetic resonance imaging (MRI) scans of the heart could help to detect a ... heartbeat and can deliver an electrical shock if a dangerous rhythm is detected). Currently, risk estimates are ...