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.
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.
