Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken ...

Discover a study introducing MAARS, a multimodal AI model that accurately predicts sudden cardiac death risk in HCM patients.

The Low EF AI means that some cases of heart failure could be spotted in primary care, speeding up referral to specialist cardiac care, even if patients don’t have symptoms.

“Our particular strategy around AI, and it’s evolving as these tools get better, is that it’s going to help us do our job better, and it can help us identify patients who may be at risk ...

A new AI tool analyzes existing CT scans in patient records to detect hidden heart disease by identifying high coronary artery calcium levels, aiding early risk assessment.

Testing the Scanner According to the Independent, the AI scanner was tested on 26 heart-failure patients from five NHS trusts ...

The findings, published in the European Heart Journal, point out that the AI model was highly accurate, with 85% sensitivity ...

Kevin Choi uses AI to detect critical diseases early through retinal scans. He said AI helps in screening, but it won't ...

In comparative analysis, EchoGo® Amyloidosis outperformed two validated clinical scoring systems, the Transthyretin Cardiac ...

A new AI model accurately detected cardiac amyloidosis from echocardiograms with higher accuracy vs. other amyloidosis risk ...

An artificial intelligence (AI) model developed by Mayo Clinic and Ultromics, Ltd., an AI echocardiography company based in ...

A powerful new artificial intelligence system has shown it can predict who is at risk of sudden cardiac death far better than ...