Stanford Medicine Uses Microsoft Azure AI Foundry for Cancer Care Management
Stanford Medicine developed an AI agent orchestration system using Microsoft Azure AI Foundry, Visual Studio, GitHub, and Microsoft Azure to improve personalized cancer care management. The system enables clinicians to evaluate medical imaging, seek clinical trials, build personal timelines, and automate use of electronic health record data. The AI agents collaborate through Azure AI Foundry to streamline workflows and enhance clinical decision-making.
- Organization
- Stanford Medicine
- Industry
- Healthcare
- Location
- United States
- Published
- May 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1AI Orchestration
- 2Healthcare Analytics
- 3Personalized Medicine
- Personalized cancer care management is scarce, with only 1% of patients having personalized care plans.
- The traditional workflow for tumor analysis and clinical trial matching is time-consuming and fragmented.
- Microsoft Azure AI Foundry platform was used to create a multi-agent AI orchestration system to assist in cancer care management.
- The system integrates with Visual Studio, GitHub, and Azure cloud services for code, collaboration, and hosting.
- AI agents collaborate to analyze medical images, identify clinical trial eligibility, and generate personal care timelines.
- The solution reduced clinical workload and saved clinician time by automating tumor board processes.
- It enabled the creation of personalized cancer care plans for thousands of oncology patients.
- Foundation model generated summaries are now used in tumor board meetings at Stanford Medicine.
- The system helped surface insights from complex data, including trial eligibility criteria, treatment guidelines, and real-world evidence.
Architecture
The architecture combines Microsoft Visual Studio for IDE, GitHub for collaboration, and Azure cloud to host an AI agent orchestration system via Azure AI Foundry. Multiple AI agents work collaboratively to analyze tumor data, clinical trials, and electronic health records to streamline oncology workflows.
Sources & evidence1
AI-generated summary. Verify important details with the linked sources before relying on this case.