Researchers from Edith Cowan University (ECU) are developing an artificial intelligence algorithm that can use bone density ...

A simple blood test can tell which patients will develop devastating motor neuron disease a decade before symptoms appear, a ...

A study in Robot Learning demonstrates how combining decision-making with machine learning enables robots to detect, analyze, and classify drinking water samples. Using TOPSIS and Random Forest on ...

Researchers videotaped facial expressions of 1,452 people, including 391 with Parkinson's disease – 300 who were clinically diagnosed and 91 who self-reported their condition.

Artificial Intelligence (AI) is often perceived as a purely digital, cold technology distinct from the living world. However, ...

Those patterns were then fed into machine learning algorithms that learned to separate the eye images of children with anemia from those without it.

Facial recognition is finally getting good enough to say something meaningful about our health. Are we ready for it?

In many low- and middle-income countries, pediatric cardiologists can't help children with congenital heart conditions ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

OCT angiography and corneal confocal microscopy were discussed as promising tools for evaluating systemic health and providing rapid diagnostics.