Stanford researchers have created an algorithm to detect familial hypercholesterolemia, a hard-to-diagnose genetic disease.
Artificial intelligence holds promise for transforming primary care in the future, but some medical practices are demonstrating how to innovate now.
Dean Lloyd Minor discusses findings of Stanford Medicine's recently released Health Trends Report.
Artificial intelligence tied to a wearable heart monitor has shown potential to help diagnose irregular heart rhythms, new research shows.
The Stanford Medicine 2018 Health Trends Report found that an explosion of data in medicine is democratizing health care.
Two leaders of Stanford’s Presence Center — Abraham Verghese and Sonoo Thadaney Israni — explore how AI can enhance the human side of patient care.
Using AI, a team of Stanford researchers including an 18-year-old has developed a way to track and evaluate surgical skills.
Scientists create algorithms that read X-rays and MRIs in an effort to enhance doctor's diagnoses of certain disease and injury.
A new algorithm helps turn veterinary notes into systemic codes, a development that could help track disease and enable drug trials.
In this radio show, Stanford bioethicist David Magnus and host Russ Altman discuss the ethical implications of using AI in health care.
A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
Stanford pilot program marries technology and compassion, artificial intelligence and palliative care, so doctors can help patients die on their own terms.
While some fear artificial intelligence making inroads into health care, Stanford Medicine Dean Lloyd Minor welcomes it.
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
Testing the side effects of every drug combination is impractical, but Stanford researchers think they have a better way: artificial intelligence.