GUIDE-AI
Our Mission
GUIDE-AI's mission is to advance responsible AI development and deployment in clinical medicine. We seek to achieve this through three strategies:
Building and deploying healthcare AI solutions to address key opportunities to advance clinical care.
Establishing evaluation and monitoring methods to assess deployed AI tools at Stanford Health Care and beyond.
Disseminating actionable learnings to support high-value AI-augmented care for all.
GUIDE-AI was founded in 2024 by Dr. Sneha Jain and Dr. Nigam Shah as an innovation hub and accelerator to inform the responsible use, implementation, evaluation, and development of healthcare AI tools. Since its inception, GUIDE-AI has centered the expertise of its member physicians, data scientists, researchers, and healthcare professionals to develop and evaluate health AI solutions that drive real impact.
Our team works across Stanford Health Care and Stanford Medicine to implement innovative monitoring and evaluation methods for AI tools currently in use, as well as test and develop new solutions to support safe, effective patient care. We seek to share this information broadly, and have developed primers and resources for anyone seeking to implement AI-augmented care at their organization – read more about our work here, and feel free to reach out if you want to learn more!
GUIDE-AI is supported by funding from Stanford Health Care, the American Heart Association, and AstraZeneca.
Areas of Work
GUIDE-AI seeks to provide guidance across the use, implementation, development, and evaluation of AI tools.
Our team supports the responsible use, evaluation, and monitoring of AI tools currently being used at Stanford Health Care.
Implementing AI tools in a rapidly evolving landscape is an ongoing challenge. GUIDE-AI has helped develop methods, frameworks, and focused briefs to support best practices in health AI governance, ethics, and monitoring.
See the implementation tools that GUIDE-AI has developed in the Primers & Resources section of Our Work.
As the prevalence of AI in healthcare skyrockets, it's critical to understand what is worth building.
GUIDE-AI leads in this work by bringing together diverse innovators – including clinicians, data scientists, and other subject matter experts – to explore key problems to solve and accelerate from ideation to implementation.
How do we know if AI-augmented care is working?
GUIDE-AI has developed methods to evaluate AI models, and ensure that they are delivering results users can trust. From frameworks to assess LLM performance for medical tasks to evaluations of AI-mediated workflows intended to identify and screen patients at risk of specific conditions, GUIDE-AI helps provide assurance that models are performing as expected.
Quick Resources
GUIDE-AI and collaborators at Stanford Medicine Technology & Digital Solutions and HEAL-AI have developed helpful primers and starter kits for those interested in exploring responsible AI development and deployment at their organizations.