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 ...
Researchers developed new technology to predict cardiac arrhythmia 30 minutes before it occurs. AFib was detected early with ...
Dr. Hsiao’s team at UC San Diego School of Medicine has created an AI algorithm that measures heart function and detects heart disease earlier ... studying using AI to predict stroke risk ...
How does it work? The AI system takes video of a patient’s heart imaging from an ultrasound or MRI to find markers that could predict disease progression. The program predicts, on a scale from 1 ...
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.
At risk of heart disease? A deep learning model can spot ... In a recent study, the AI was able to predict heart attack risk with 70-80% accuracy, comparable to traditional methods.
The CaRi-Heart technology is currently in clinical use in various NHS and private hospitals in the UK, as well as within the ...
Generative AI enables the rapid exploration of millions of molecules, surpassing the capabilities of traditional methods.
A new peer-reviewed study published in PLoS Computational Biology demonstrates an AI deep learning model that can predict behavior at nearly real-time speed with 95% accuracy. “Deep learning is ...
To take that into account, the PERCEPTION developers have used a machine learning technique known as transfer learning to train the AI to predict drug responses using bulk RNA sequencing data ...
The American Heart Association says certain lifestyle habits can not only improve your overall health, but also slow your body’s aging by years. DCM enlarges the heart, preventing it from ...