An artificial intelligence (AI) tool can accurately and consistently classify breast density on mammograms, according to a study in Radiology: Artificial Intelligence.

Breast density reflects the amount of fibroglandular tissue in the breast commonly seen on mammograms. High breast density is an independent breast cancer risk factor, and its masking effect of underlying lesions reduces the sensitivity of mammography.

During the COVID-19 pandemic, the demand for telemedicine boomed - increasing 63-fold among Medicare users alone from approximately 840,000 telehealth visits in 2019 to 52.7 million in 2020.

As more people flocked to telemedicine, health systems and increasingly implemented direct-to-consumer telehealth to provide convenient, safe options for acute care. But it was unknown how these services varied in quality of care.

Detecting cognitive changes early in the onset of dementia would be a game-changer for thousands impacted by the disease and would allow for interventions well before significant brain changes occur.

While cognitive function is often measured using paper and pencil tests with scores calculated by the number of correct answers, this number (score) omits a lot of information about the process a person uses to answer a question that might reveal important information about their brain function.

Computer scientists at the University of Essex have devised a radically different approach to improving artificial intelligence (AI) in the future.

Published in top machine learning journal - the Journal of Machine Learning Research - the Essex team hope this research will provide a backbone for the next generation of AI and machine learning breakthroughs.

While many people skipped regular health check-ups during the COVID-19 pandemic, new research indicates that people with multiple sclerosis (MS) used online telehealth services more frequently to keep in contact with their health care providers and were highly satisfied with the outcome.

Physician-scientists in the Smidt Heart Institute at Cedars-Sinai have created an artificial intelligence (AI) tool that can effectively identify and distinguish between two life-threatening heart conditions that are often easy to miss: hypertrophic cardiomyopathy and cardiac amyloidosis. The new findings were published in JAMA Cardiology.

WHO has named vaccine hesitancy one of the greatest threats to global health. Nonetheless, some people are hesitant or refuse to get vaccinated because they do not trust vaccines and health authorities. A new research result from DTU, published in the journal PLOS One, shows that misinformation on social media contributes to this distrust and creates a false image of benefits and disadvantages concerning vaccines.