How do we really know a patient's level of pain? Today, doctors ask patients to rate their own pain on a scale, relying heavily on what patients say to make their diagnoses. Stanford researchers are ...
Skin cancer is the most common type of cancer, with some 5.4 million cases in the United States each year, and it’s also the most treatable as long as it is detected in the early stages. However, not ...
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. But in ...
A group of Stanford researchers says it has built an algorithm that can diagnose pneumonia in chest x-rays better than the average human radiologists. The group, which includes deep learning ...
Chemistry Professor Vijay Pande is using one-shot learning algorithms for drug development (Courtesy of Linda A. Cicero/Stanford News). Camille and Henry Dreyfus Distinguished Chair in Chemistry Vijay ...
Stanford and Fitbit are joining forces in a bid to develop technology that detects early signs of the coronavirus using wearables. The team is designing an algorithm that measures the wearer's vitals ...
When doctors believe a drug's side effects are behind a patient's aches and pains, they can report their suspicion to the FDA. But it can be hard to know whether those adverse symptoms are really drug ...
STANFORD, Calif. — Researchers at the Stanford University School of Medicine have used an innovative mathematical technique to find markers that effectively predict how deadly a cancer will be. The ...
Researchers at Stanford have developed a machine learning algorithm, CheXNet, to perform pneumonia diagnosis better than doctors. According to the World Health Organization, two-thirds of the world ...
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