Physicians who took a system usability scale questionnaire gave electronic health records 45 out of 100, whereas as they rated Google a 93.

Hongjie Dai, Julie Parsonnet and Joseph Wu are among the 90 regular members and 10 international members elected this year to the academy, which aims to provide independent, scientifically informed analysis and recommendations on health issues.

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.