Can smartphones or smartwatches help detect early signs of neurological or mental illness? Researchers at the University of Geneva (UNIGE) monitored a group of participants wearing connected devices, and used artificial intelligence to analyse data such as heart rate, physical activity, sleep and air pollution. Their findings show that connected devices can accurately predict emotional and cognitive fluctuations, opening new avenues for the early detection of changes in brain health.

The risk of serious or fatal heart disease can be predicted with artificial intelligence (AI) analysis of mammograms, according to research published in the European Heart Journal.

The study shows that AI can be used to assess the build-up of calcium deposits in the arteries of the breast from the standard X-ray mammography scans that are currently used in routine breast cancer screening.

More than 4 in 10 adults in the UK are happy to use ChatGPT for their mental health support, new research suggests.

The study, led by Bournemouth University surveyed nearly 31,000 adults in 35 countries about their use of Artificial Intelligence (AI) large language models such as ChatGPT. The research also discovered that:

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D abdominal computed tomography (CT) scans, accomplishing tasks as simple as identifying anatomical features to as complex as predicting disease onset years in advance.

Imagine being able to assess how healthy the front of our eyes are not only in hospitals, but also in remote eye-screening camps, elderly-care facilities, pharmacies, or even train stations. That is the future a research team led by Professor Toru Nakazawa at the Graduate School of Medicine, Tohoku University is working towards with a newly developed portable AI-powered scanning slit-light device.

Telemedicine visits are five times less costly than in-person appointments for the most common conditions able to be treated by both forms of visits, new research from the Perelman School of Medicine at the University of Pennsylvania shows. On average, telemedicine patient visits were billed $400 less, and they also resulted in fewer follow-up visits after the initial appointment.

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals.

Artificial intelligence (AI) tools are increasingly being developed to predict cancer biology directly from microscope images, promising faster diagnoses, and cheaper testing.