Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.
Researchers are using artificial intelligence to detect abnormalities in the heart through an algorithm that assesses the rate that a heart pumps blood.
Ethical and legal issues accompany the potential benefits of using computer vision-based ambient intelligence in health care.
In this episode of "The Future of Everything," host Russ Altman and guest Ross Shachter discuss how AI can help radiologists with diagnosis accuracy.
Stanford clinicians take their cue from sports and election predictions to calculate an "in-game probability" of success when treating cancer patients.
Stanford researchers have designed a new AI tool to help clinicians identify brain aneurysms. HeadXNet is designed to work with, not replace, radiologists.
A Stanford psychologist discusses the future of psychiatric artificial intelligence, including the challenges and potential benefits for AI-based mental health assessment.
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.