All Work Published on Healthcare
AI Researchers Tap into Medical Twitter To Create Powerful New Analysis Tool
Stanford researchers discover a rich new data source in the anonymized pathology images and online comments of thousands of pathologists.
Stanford researchers discover a rich new data source in the anonymized pathology images and online comments of thousands of pathologists.
How the medical field can best harness LLMs, from evaluating the accuracy of algorithms to ensuring they fit with a provider's workflow.
How the medical field can best harness LLMs, from evaluating the accuracy of algorithms to ensuring they fit with a provider's workflow.
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
