QA Verification Agent
3-stage hallucination detection and verification
Model: proofmed-verifier-v4
Medical fact verification
Hallucination detection
Evidence quality grading
QA Verification Agent Inference
Model Loaded • Ready
Analysis Output
Waiting for input...
This agent can:
→ Medical fact verification
→ Hallucination detection
→ Evidence quality grading
→ Source validation
→ Confidence scoring
→ Guideline compliance checking
Available Tools
Fact Checker
Evidence Grader
Source Validator
Confidence Analyzer
Guideline Compliance
Citation Verifier
Technical Specifications
Model: proofmed-verifier-v4
Parameters: 7B fine-tuned
Latency: <200ms
Accuracy: 98.7%
Training Data: 50M+ medical records
Integration Options
# API Integration
import proofmed
agent = proofmed.QaAgent()
result = agent.analyze({
"input": patient_data,
"mode": "comprehensive"
})
print(result.recommendations)Evidence Base
PubMed: 30M+ papers indexed
Guidelines: 500+ clinical guidelines
Trials: 100K+ RCTs analyzed
Updates: Real-time literature monitoring