We use cookies to help provide you with the best possible online experience. Please read our Privacy Policy for information about which cookies we use and what information we collect on our site. By continuing to use this site, you agree that we may store and access cookies on your device.
A pregnancy-adapted algorithm can safely avoid diagnostic imaging in a proportion of pregnant women with suspected pulmonary embolism, according to a study published in the March 21 issue of the New England Journal of Medicine.
Scientists in California have undertaken studies that have demonstrated the effectiveness of a sophisticated algorithm in preventing the spread of infectious diseases.
Artificially intelligent algorithms can learn to identify amazingly subtle information, enabling them to distinguish between people in photos or to screen medical images as well as a doctor.