Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) algorithms can detect signs of these clots in electrocardiograms (EKGs), a finding which may one day help doctors with screening.

The COVID-19 pandemic has had a major impact on mental health across the globe. Depression is predicted to be the leading cause of lost life years due to illness by 2030. At the same time, less than 1 in 5 people receive appropriate treatment.

Digital interventions - which package up psychotherapeutic components into a computer program or mobile app - have been proposed as a way of meeting the unmet demand for psychological treatment.

Emergency room and urgent care clinics are typically busy and patients often have to wait many hours before they can be seen, evaluated and receive treatment. Waiting for x-rays to be interpreted by radiologists can contribute to this long wait time because radiologists often read x-rays for a large number of patients.

Computer- and smartphone-based treatments appear to be effective in reducing symptoms of depression, and while it remains unclear whether they are as effective as face-to-face psychotherapy, they offer a promising alternative to address the growing mental health needs spawned by the COVID-19 pandemic, according to research published by the American Psychological Association.

People with a serious mental illness often have dysfunctional beliefs that spiral them downward. They feel stigmatized. They may believe people are out to get them. They might think they will never get better.

Wanting to address these dysfunctional beliefs, researchers created a smartphone app with daily game-like exercises to help people with a serious mental illness reassess their beliefs.

New technology could help doctors make the most of limited resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment.

The system, developed by researchers at the University of Waterloo and DarwinAI, an alumni-founded startup company, uses artificial intelligence (AI) to predict the necessity of ICU admission based on more than 200 clinical data points, including vital signs, blood test results and medical history.

Every day, cytologists around the world use optical microscopes to analyze and classify samples of bone marrow cells thousands of times. This method to diagnose blood diseases was established more than 150 years ago, but it suffers from being very complex. Looking for rare but diagnostically important cells is both a laborious and time-consuming task.