Medical Literature Reviewer: Consensus-Based Research Paper Analysis

import vincony

client = vincony.Client(api_key="YOUR_API_KEY")

review = client.tools.medical_review(
    paper=open("clinical-trial-results.pdf", "rb"),
    analysis=["methodology", "findings", "bias", "clinical_significance"],
    models=["gpt-4o", "claude-sonnet-4", "gemini-2-pro"],
    evidence_level=True  # Rate level of evidence (I-V)
)

print(f"Study type: {review.study_type}")
print(f"Evidence level: {review.evidence_level}")
print(f"Sample size: {review.sample_size}")
print(f"Key finding: {review.primary_finding}")
print(f"Confidence: {review.consensus_confidence}%")

print("\nMethodology assessment:")
for item in review.methodology:
    print(f"  {item.aspect}: {item.rating} — {item.note}")

print("\nPotential biases:")
for bias in review.biases:
    print(f"  ⚠️ {bias.type}: {bias.description}")

# Batch analysis for systematic review
batch = client.tools.medical_review.batch(
    papers=paper_list,
    extract=["pico", "outcomes", "adverse_events"],
    output_format="comparison_table"
)

print(batch.comparison_table)  # Structured comparison across all papers
print(f"Papers analyzed: {batch.total}")
print(f"Papers with high consensus: {batch.high_confidence}")