Trust is AI’s Most Critical Contribution to Health Care
AI can reveal remarkable medical insights, but only if patients and doctors have faith in it. Thus, trust has become AI’s singular goal, says Stanford's James Zou.
Among the many areas James Zou might have chosen to apply his considerable knowledge of artificial intelligence, he opted for health care.
It was the most interesting, the most complex and the most impactful area of study. In short, it was the most exciting outlet for his expertise.
Since that epiphany, Zou, a Stanford assistant professor of Biomedical Data Science, has gone on to publish influential studies that have improved the patient experience, shaped basic research and sped the development of new drugs. Among his most important contributions, Zou says, are efforts to expose and overcome bias in the data and algorithms.
His latest project, Pathfinder, uses anonymized, real-world medical records to allow researchers to conduct synthetic clinical trials on fictional (but realistic) patients, as Zou explains in this episode of Stanford Engineering’s The Future of Everything podcast with host Russ Altman, associate director of Stanford Institute for Human-Centered AI. Listen and subscribe here.
Stanford HAI's mission is to advance AI research, education, policy and practice to improve the human condition. Learn more.
Related News
Stanford scientists in Senegal hunting for schistosomiasis—a parasitic disease infecting 200+ million people worldwide—used AI to transform local field work into satellite-powered disease mapping.
Stanford scientists in Senegal hunting for schistosomiasis—a parasitic disease infecting 200+ million people worldwide—used AI to transform local field work into satellite-powered disease mapping.
From Privacy to ‘Glass Box’ AI, Stanford Students Are Targeting Real-World Problems
An Amazon-backed fellowship will support 10 Stanford PhD students whose work explores everything from how we communicate to understanding disease and protecting our data.
An Amazon-backed fellowship will support 10 Stanford PhD students whose work explores everything from how we communicate to understanding disease and protecting our data.
Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.
Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.