Scientists have designed a new artificial intelligence model that emulates randomized clinical trials to determine the ...
An artificial intelligence system could make diagnosing a common cardiac condition more accessible, potentially leading to better care and improved treatments, researchers told Future Pulse.
Artificial intelligence might be able to help doctors by filling out rote paperwork, but it's not going to be useful in the ER anytime soon, a new study shows. OpenAI's ChatGPT program provided ...
The need to diagnose heart disease quickly and accurately This project was driven, like much of Vunjak-Novakovic's research, by a clinical need to diagnose heart diseases more quickly and accurately.
AI trained on simple heart rate data can predict an episode of the most common heart rhythm disorder, atrial fibrillation, 30 minutes in advance, new research has shown. With plans for it to be ...
Artificial Intelligence is revolutionizing heart disease care by enabling early detection, personalized treatment, and ethical considerations. Moreover, AI's prowess extends beyond prediction to ...
In a recent paper published in the journal Patterns, a team of researchers from the Ohio State University created a novel ...
Apr. 30, 2024 — Researchers have discovered over a hundred new regions of the human genome, also known as genomic loci, that appear to influence a person's blood ... Cardio-Fitness Cuts Death ...
Southern England's leading centre of excellence for the prevention and treatment of cardiovascular and cancer issues, has ...
Scientists have designed a new artificial intelligence model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart ...
- AI can predict political orientations from blank faces – and researchers fear 'serious' privacy challenges - Google to provide AI to military for disaster response - AI could predict whether ...
The UK is facing an unprecedented kidney disease crisis, one which could cost the NHS up to £11 billion per year by 2033 if ...