Researchers used artificial intelligence and de-identified data from electronic health records to identify the safest types of hip implants.

Stanford scientists, using only direct brain stimulation, reproduced both the brain dynamics and the behavioral response of mice taught to discriminate between two different images.

Radiologists improved their diagnoses of brain aneurysms with the help of an artificial intelligence algorithm developed by Stanford medical experts and computer scientists.

Stanford primary care specialist Steven Lin asserts that artificial intelligence, if deployed properly, can reduce physicians’ administrative workload and support them in providing caring, personalized medicine.

Stanford researchers have developed a computational platform for analyzing the molecular behavior of individual cells in tissue samples, opening the door for new discoveries, diagnostics and treatments.

Stanford researchers presented preliminary findings from a virtual study that enrolled more than 400,000 participants.

Few medical devices are approved specifically for babies and children. An FDA grant to fund a collaboration between Stanford and UCSF for developing pediatric devices aims to fill the gap.

Digital health technology is helping Stanford Children’s Health offer patients and their families better access to Stanford Medicine pediatric experts.

In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.

Stanford Medicine is applying high-tech approaches to reshape medical research, training, diagnostics and treatment — without losing the essential human touch.