App recognizes suspected mpox rashes using artificial intelligence

A new app developed by scientists at Stanford Medicine and other institutions can detect skin lesions caused by mpox, previously known as monkeypox, in images with an accuracy of 90%, the researchers found in a study. To analyze images, the app uses a type of artificial intelligence that was trained and evaluated on a large data set of about 130,000 images of various skin conditions.

Imaging the adolescent heart provides ‘normal’ reference values for clinical practice

Magnetic resonance imaging (MRI) has allowed scientists at the Centro Nacional de Investigaciones Cardiovasculares (CNIC) to produce an accurate picture of the healthy heart in adolescence. Using this advanced technology, the research team was able to determine reference values for anatomical and functional parameters in the heart during adolescence. This information, published in eClinicalMedicine, has direct implications for clinical practice.