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 are using a new artificial intelligence-based program to help identify genes that underly diseases.
Stanford Medicine researchers have found a new way to stabilize mRNA molecules, something that could boost COVID vaccines.
Stanford Medicine researchers and collaborators aiming to predict and detect COVID-19 through smartwatch data expand user base into Pac-12 athletes.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
Researchers at Stanford have devised an algorithm that predicts how likely a diagnostic test, when repeated, will yield useful information.
Stanford researchers develop a machine-learning computer model for mammography assessment in hopes of aiding radiologists’ clinical decisions.
A Stanford psychologist discusses the future of psychiatric artificial intelligence, including the challenges and potential benefits for AI-based mental health assessment.
The Stanford Institute for Human-Centered Artifical Intelligence will advance AI research, education and more to improve the human condition.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
Stanford researchers are hosting an online competition featuring virtual athletes. Their goal: help people learn to walk and run after losing a limb.
