All Work Published on Healthcare
Hidden Racial Variables? How AI Inferences of Race in Medical Images Can Improve—or Worsen—Health Care Disparities
Stanford health care AI scholar discusses implications of the ability of AI to predict the race or ethnicity of patients, based solely on medical images such as X-rays and ultrasounds.
Stanford health care AI scholar discusses implications of the ability of AI to predict the race or ethnicity of patients, based solely on medical images such as X-rays and ultrasounds.
A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education.
A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education.
Scholars outline the best possible uses for these tools and the path to deployment.
Scholars outline the best possible uses for these tools and the path to deployment.
Stanford Medicine and Stanford HAI Announce RAISE-Health, a Responsible AI Initiative
A new collaboration between Stanford HAI and the Mayo Clinic will help two scholars explore the use of AI in neurology and cardiology.
A new collaboration between Stanford HAI and the Mayo Clinic will help two scholars explore the use of AI in neurology and cardiology.
Could Self-Supervised Learning Be a Game-Changer for Medical Image Classification?
Supervised methods for training medical image models aren’t scalable. A new review highlights the potential of self-supervised learning.
Supervised methods for training medical image models aren’t scalable. A new review highlights the potential of self-supervised learning.
