Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.
Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.
Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.
Researchers discuss the need for ethics and its integration into research projects that harness artificial intelligence.
Researchers explore whether voice assistant are able to provide reliable medical information -- so far the answer is no.
Steps must be taken to prevent bias in sex, gender and race in health data gathered using artificial intelligence, Stanford researchers write.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
A device to prevent falls and another to better diagnose people with developmental disorders are among the AI projects funded under a new grant program.
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
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.