Machine learning allows for more accurate predictions of heart disease risk, highlights need for sex-specific criteria ...

Now, enrollment times have been cut in half—which means medical devices and other therapies can get to market faster. AI ...

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This ...

Southern England's leading centre of excellence for the prevention and treatment of cardiovascular and cancer issues, has ...

"I don't want to pick on anybody in particular, but I'll point to this headline: 'AI failed to live up to its potential in ..

Cedar Gate's predictive model identified 24,628 people in its National Healthcare Benchmark Database who were not already diagnosed with CAD, but at above-average risk of developing the condition, ...

However, it’s deemed “life-saving” for the people who successfully undergo the treatment. So, the researchers intend to use ...

Coronary artery disease (CAD) causes more than 1.8 million heart attacks each year in Europe, 300,000 in Germany alone. In ...

10, 2024 — Over 200 million people around the world experience peripheral artery disease (PAD ... A Pulse of Innovation: AI at the Service of Heart Research Apr. 8, 2024 — Researchers ...

VUNO, a Korean startup integrating AI into healthcare to improve efficiency and accuracy, is looking to global markets.

Big Tech is bringing AI into the health care industry, but medical machine models carry risks to privacy and patient safety.

"Limited single-cell data from clinics was our biggest challenge. An AI model needs large amounts of data to understand a disease, not unlike how ChatGPT needs huge amounts of text data scraped ...