In this In the Spotlight Q&A, radiology instructor Ahmed Nagy El Kaffas shares how a best friend and a trip to China shaped his early career.
New Stanford research suggests a method of analyzing cell-phone videos of children could alleviate the bottleneck in autism diagnosis around the world.
Ahead of the Big Data in Precision Health conference, Emma Huang from Johnson & Johnson Innovations discusses collaborations between industry and academia.
A Stanford psychologist discusses the future of psychiatric artificial intelligence, including the challenges and potential benefits for AI-based mental health assessment.
Stanford researchers are tackling the problem of post-intensive care syndrome with artificial intelligence technology that detects patient mobility.
The Stanford Institute for Human-Centered Artifical Intelligence will advance AI research, education and more to improve the human condition.
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.
Two leaders of Stanford’s Presence Center — Abraham Verghese and Sonoo Thadaney Israni — explore how AI can enhance the human side of patient care.
Scientists create algorithms that read X-rays and MRIs in an effort to enhance doctor's diagnoses of certain disease and injury.
In this radio show, Stanford bioethicist David Magnus and host Russ Altman discuss the ethical implications of using AI in health care.
Stanford pilot program marries technology and compassion, artificial intelligence and palliative care, so doctors can help patients die on their own terms.
Researchers are using AI listening technologies to improve mental-health, diagnose autism and discover adverse drug reactions.
Stanford researcher Nigam Shah discusses a new study in which a machine learning system predicts patient outcomes, and he outlines the implications for artificial intelligence in medicine.
Can computers carry out hospital safety-monitoring tasks better than humans? A Stanford research team has been testing the idea; so far, it's working well.
