Topic List : Technology
Neuron-nudged mice see what isn’t there
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.
AI to help detect brain aneurysms
Radiologists improved their diagnoses of brain aneurysms with the help of an artificial intelligence algorithm developed by Stanford medical experts and computer scientists.
Potential and perils of AI
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.
Powerful computational tool for molecular research
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.
Apple Heart Study demonstrates ability of wearable technology to detect atrial fibrillation
Stanford researchers presented preliminary findings from a virtual study that enrolled more than 400,000 participants.
Developing pediatric medical devices
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.
Telehealth for young patients
Digital health technology is helping Stanford Children’s Health offer patients and their families better access to Stanford Medicine pediatric experts.
Algorithm success in screening for disease
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 magazine and high-tech
Stanford Medicine is applying high-tech approaches to reshape medical research, training, diagnostics and treatment — without losing the essential human touch.
Stanford, Apple describe heart-rhythm study
Over 400,000 people have enrolled in a study being conducted by researchers at Stanford and Apple to determine whether a wearable technology can identify irregular heart rhythms suggestive of atrial fibrillation.