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Inside The New AI Index: Expensive New Models, Targeted Investments, and More
The new report covers major AI trends in technical advances, regulation, education, economics, and global politics.
Who’s at Fault when AI Fails in Health Care?
Hospitals are increasingly adopting AI tools for patient care. They need to be thinking about liability.
Doctors Receptive to AI Collaboration in Simulated Clinical Case without Introducing Bias
Doctors worked with a prototype AI assistant and adapted their diagnoses based on AI’s input, which led to better...
Generating Medical Errors: GenAI and Erroneous Medical References
A new study finds that large language models used widely for medical assessments cannot back up claims.
Shriti Raj: Designing Tech That Helps People Lead Healthier Lives
Stanford HAI faculty fellow says there’s a better way to make health data useful for patients and clinicians.
Using NLP to Detect Mental Health Crises
Scholars develop a new model to surface high-risk messages and dramatically reduce the time it takes to reach a patient...
Urgent Call for AI to “Do No Harm” in Biomedicine
Stanford researchers urge coordinated action by federal and state governments, academic institutions, and hospitals to...
Stanford Ethicists Developing Guidelines for the Safe Inclusion of Pediatric Data in AI-Driven Medical Research
AI algorithms often are trained on adult data, which can skew results when evaluating children. A new perspective piece...
AI Shows Dermatology Educational Materials Often Lack Darker Skin Tones
Black and brown skin tones are underrepresented in books meant to teach doctors to recognize skin disease. The shortfall...
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...
Rethinking Large Language Models in Medicine
How the medical field can best harness LLMs, from evaluating the accuracy of algorithms to ensuring they fit with a...
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...