Independent validation and transparent benchmarking for healthcare AI systems.
Hospitals and healthcare providers face a critical challenge: how to evaluate and compare medical AI systems when manufacturers provide limited transparency. Independent healthcare AI testing is essential for patient safety.
Medical AI companies self-report performance metrics without third-party validation, creating information gaps for hospitals evaluating diagnostic AI systems.
Different testing methodologies make it impossible to compare healthcare AI performance objectively. Our AI benchmarking provides standardized comparisons.
Healthcare AI systems that excel in trials may fail in real-world clinical settings. Independent validation reveals true diagnostic accuracy.
Healthcare organizations invest millions in medical AI without reliable data. FDA AI validation and independent testing guide purchasing.
The industry standard for healthcare AI performance benchmarking. Monthly rankings and transparent diagnostic AI accuracy data for every major medical AI system.
MoaliaIndex provides standardized AI performance testing across diagnostic accuracy, clinical utility, algorithmic bias, and real-world effectiveness. Compare healthcare AI systems with transparent, validated data.
Standard Aligned
Guideline Compatible
Act Ready
Comprehensive clinical AI certification and performance validation for AI companies, hospitals, and regulatory compliance (FDA, EU AI Act)
Complete independent medical AI testing and diagnostic accuracy assessment:
Ongoing healthcare AI testing and quarterly reassessment:
For hospitals evaluating and comparing medical AI systems:
Rigorous, FDA-aligned medical AI testing standards ensuring reliable and reproducible clinical validation results
Research-driven medical AI validation serving AI developers, healthcare organizations, and regulators globally
Founded on academic principles with peer-reviewed methodologies and transparent reporting standards.
No consulting fees, equity, or financial relationships with AI vendors under evaluation.
Built for long-term credibility and public benefit, not venture capital returns.
Full methodology publication and transparent result reporting to advance the field.
Join leading healthcare organizations and AI companies using transparent, independent validation. Compare diagnostic AI accuracy, ensure regulatory compliance, and build trust through clinical AI certification.