Assessing how seriously injured a person is, involves weighing up lots of different parameters fast. If healthcare professionals could get support making fast-paced, life-critical decisions from an AI tool, more lives could be saved. This is shown by research from Chalmers University of Technology in Sweden, along with the University of Gothenburg and the University of Borås.

A new artificial intelligence (AI) tool that interprets medical images with unprecedented clarity does so in a way that could allow time-strapped clinicians to dedicate their attention to critical aspects of disease diagnosis and image interpretation.

The tool, called iStar (Inferring Super-Resolution Tissue Architecture), was developed by researchers at the Perelman School of Medicine at the University of Pennsylvania, who believe they can help clinicians diagnose and better treat cancers that might otherwise go undetected.

In 2022, the insurance industry made a whopping USD 6 trillion globally - more than the entire economy of big countries like Japan and Germany. A new study, published in The Journal of Finance and Data Science, looked at how technology, especially big data, is shaking things up in insurance. Big data means using a lot of information to make better decisions.

Despite an end to the national public health emergency in May 2023, the use of telehealth remains high, with over 20% of American adults taking appointments online.

These visits include video calls with registered dietitian nutritionists, who have a critical role in helping patients take on lifestyle changes through medical nutrition therapy.

Hepatocellular carcinoma (HCC) is the most common type of liver cancer. It is a major global health concern with rising rates, particularly in North Africa and East Asia. Although potentially curable in the early stages, HCC often remains undetected until it's too late for effective treatment. This press release announces promising advances in artificial intelligence (AI) technology that could revolutionize HCC diagnosis, leading to earlier detection and improved patient outcomes.

Compared to patients who had a virtual visit with their own family doctor, those who received virtual care from a doctor outside of their family care team were 66 percent more likely to visit the emergency department within seven days, according to new research.

The study, led by researchers at the University Health Network (UHN), Unity Health Toronto, and ICES, also showed that patients receiving virtual care outside of an existing family doctor-patient relationship were 25 percent more likely to have an in-person visit and 88 percent more likely to have another virtual visit within seven days.

The face is a mirror for a person's emotional state. The interpretation of facial expressions as part of psychotherapy or psychotherapeutic research, for example, is a very effective way of characterizing how a person is feeling in that particular moment. Back in the 1970s, psychologist Paul Ekmann developed a standardized coding system to assign basic emotions such as happiness, disgust or sadness to a facial expression in an image or video sequence.