Healthcare AI Innovation
AgentMD: Revolutionizing Clinical Risk Prediction with AI
Leveraging Language Agents for Scalable Medical Tool Curation and Application
AgentMD introduces a groundbreaking framework that automates the curation and application of clinical calculators, significantly enhancing risk prediction accuracy and efficiency in healthcare.
Key Enterprise Impact Metrics
AgentMD's capabilities translate directly into quantifiable improvements across clinical operations and patient outcomes.
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Risk Prediction Accuracy (vs. GPT-4 40.9%)
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Clinical Calculators Curated
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Unit Test Pass Rate
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Real-world ED Notes Processed
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
AgentMD automates the discovery, extraction, and standardization of clinical calculators from medical literature, building a vast, high-quality toolkit.
AgentMD intelligently selects and applies the most relevant calculators to individual patient cases, providing precise risk assessments.
Beyond individual patient care, AgentMD aggregates risk data across cohorts, offering strategic insights for institutional risk management.
87.7%
Accuracy in Risk Prediction (outperforms GPT-4)
AgentMD achieved a remarkable 87.7% accuracy on the RiskQA benchmark, significantly surpassing GPT-4's 40.9% by leveraging a curated clinical toolbox.
AgentMD's Automated Tool Curation Process
PubMed Article Screening
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Calculator Drafting (Structured Python)
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Self-Verification & Quality Checks
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RiskCalcs Repository
| Feature | AgentMD (GPT-4 Empowered) | GPT-4 (Chain-of-Thought) |
|---|---|---|
| Risk Prediction Accuracy | High (87.7% on RiskQA) | Moderate (40.9% on RiskQA) |
| Tool Utilization | Autonomous selection & application of external, validated tools | Relies solely on internal knowledge; prone to hallucinations |
| Data Source | Curated from 2,164 PubMed articles | Pre-trained general knowledge |
| Interpretability | Provides explicit calculation steps and tool references | Black-box reasoning |
| Scalability & Reusability | Reusable Python tools for various contexts | Context-dependent prompt engineering |
Real-World Application: Emergency Department Risk Assessment
In a real-world evaluation on 698 emergency department notes from Yale Medicine, AgentMD accurately computed individual medical risks. Physicians annotated over 80% of patient-calculator processes as correct or partially correct, and results were deemed useful in nearly all cases. This demonstrates AgentMD's immediate practical value in acute care settings, enhancing clinical decision-making during critical time windows.
Estimate Your AI-Driven Efficiency Gains
See how AgentMD's automation of clinical risk prediction can translate into significant time and cost savings for your healthcare institution.
Estimated Annual Savings
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Annual Hours Reclaimed
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AgentMD Implementation Roadmap
A phased approach to integrate AgentMD into your existing clinical workflows and unlock its full potential.
Discovery & Assessment
Identify key clinical areas and existing calculator usage. Data readiness assessment.
Custom Tool Integration
Integrate institution-specific calculators and refine existing AgentMD tools for local context.
Pilot Program & Validation
Deploy AgentMD in a controlled pilot, gather feedback, and validate accuracy with clinical staff.
Full-Scale Deployment
Roll out AgentMD across relevant departments, provide training, and monitor performance.
Continuous Optimization
Regularly update AgentMD with new research, refine models, and expand its application scope.
Ready to Transform Clinical Decision-Making with AI?
Partner with us to deploy AgentMD and empower your clinicians with cutting-edge risk prediction capabilities.
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