Scaling Human Intelligence

Collective Good’s platform harnesses our verified-clinician network to provide consensus assessments of medical AI performance.

1. Case Curation

AI-sample cases and Clinician evaluation cases comprises of our review dataset, enabling assessment of both the AI and the individual crowd members.

2. Expert Matching

Cases are directed to clinicians with matching expertise profiles and verified performance. 



3. Consensus Optimization

Our aggregation engine determines the crowd consensus on individual cases. 

4. Feedback

Consolidation of AI case-level review results to overall assessment metrics, rationales, and recommendations.