All Work Published on Healthcare
Five projects received a RAISE Health seed grant to support research and educational initiatives that advance responsible AI in biomedicine.
Five projects received a RAISE Health seed grant to support research and educational initiatives that advance responsible AI in biomedicine.
Holistic Evaluation of Large Language Models for Medical Applications
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
Advancing Responsible Healthcare AI with Longitudinal EHR Datasets
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.
Making AI Work for Health Care: Stanford’s Framework Evaluates Impact
As hospitals rapidly adopt artificial intelligence technologies, open-source guardrails can help better determine whether a tool is ethical, useful, and realistic for their systems.
As hospitals rapidly adopt artificial intelligence technologies, open-source guardrails can help better determine whether a tool is ethical, useful, and realistic for their systems.
