Advances in artificial intelligence have enabled the development and application of AI tools that may be effective at detecting heart ... to predict cardiovascular disease using a large dataset ...

Scripps Research study combines AI, genomics, and health records to create personalized heart attack risk predictions. ABC ...

Now, researchers have trained multiple machine learning models using a large, population-based dataset ... heart failure, with the aim of better understanding the likely course of the disease ...

Using the retinal image, Google says it was able to quantify this association and 70% of the time accurately predict which patient within five years would experience a heart attack or other major ...

Also for the first time, the new calculator takes kidney function into account when predicting risk, as kidney disease puts people at higher risk of heart disease, heart attacks, heart failure and ...

A new study by Google and its health-focused Alphabet-sibling, Verily Life Sciences, has shown that deep-learning algorithms can accurately predict heart disease by analyzing photographs of an ...

By analyzing vast amounts of biological data, AI can help researchers predict how different chemical ... At the top of the list is ischemic heart disease (coronary heart disease), responsible ...

Heart disease is the most common cause of death from diabetes. But we don't understand how it happens ... REDD1 protein's performance is key. "We predict that restoring the function of this ...