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.
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.
A Stanford symposium asks: In the midst of technological progress, how do doctors retain the human touch with patients and ensure that new developments enhance, rather than impede, their profession?
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.
Physicians should consider the ethical challenges of using artificial intelligence in making patient care decisions, three Stanford University School of Medicine researchers say in a perspective piece in The New England Journal of Medicine.
Stanford’s Abraham Verghese believes there should be a more nuanced conversation around what artificial intelligence can do for doctors.
Tuberculosis is an infectious disease that kills almost two million people worldwide each year, even though the disease can be identified on a simple chest …
Researchers have developed a machine-learning computer algorithm that predicts the health outcome of patients with acute myeloid leukemia — identifying who is likely to relapse …
