Federated AI Models

Discover Clinically Validated AI Models

Explore a curated marketplace of AI models rigorously tested across diverse, privacy-preserving datasets. Find the right model for your healthcare needs.

Available AI Models

Femur Bone Segmentation AI
Clinical Grade
Accurate segmentation of femur bones from X-ray and CT scans for orthopedic planning.
Zorgence Core AIv1.2.0
Femur Bone Segmentation AI example
Federated Learning

Benchmarks:

Dice Score (CT):96%
IoU (X-ray):92%
Sensitivity:97%
Specificity:95%
Inference Time:85% ms

Applications:

Orthopedic Surgery Planning
Fracture Detection
Bone Density Analysis
1.5K+ Downloads
4.8 (7 institutions)
Cardiac Arrhythmia Detector
FDA Cleared
Detects various cardiac arrhythmias from ECG data with high precision and recall.
HeartBeat AI Labsv2.1.0
Cardiac Arrhythmia Detector example
Differential Privacy

Benchmarks:

Accuracy:98%
F1 Score:97%
Precision:96%
Recall:98%
Robustness (Noise):90%

Applications:

Cardiology Diagnosis
Remote Patient Monitoring
Emergency Care
2.8K+ Downloads
4.9 (12 institutions)
Lung Nodule Classification
Research Grade
Classifies lung nodules as benign or malignant based on chest CT scans.
PulmoAI Researchv0.9.5
Lung Nodule Classification example
Homomorphic Encryption

Benchmarks:

AUC:88%
Sensitivity:85%
Specificity:91%
False Positive Rate:15%
Data Heterogeneity Robustness:75%

Applications:

Early Cancer Screening
Radiology Decision Support
Research
800+ Downloads
4.2 (4 institutions)
Diabetic Retinopathy Grader
CE Marked
Automated grading of diabetic retinopathy severity from retinal fundus images.
RetinaSense Inc.v1.0.1
Diabetic Retinopathy Grader example
Secure Multi-Party Computation

Benchmarks:

Agreement Rate:93%
Kappa Score:0.88
Grading Accuracy:91%
False Negative Rate:7%
Image Quality Robustness:88%

Applications:

Ophthalmology Screening
Diabetic Care
Telemedicine
2.1K+ Downloads
4.7 (9 institutions)

How Federated Testing Works

Our privacy-preserving platform enables secure validation across multiple institutions without sharing sensitive patient data.

Access Models

Browse and request access to a wide range of clinically validated AI models for various healthcare applications.

Secure Testing

Test your own models or validate existing ones on diverse datasets across our federated network, ensuring data privacy.

Receive Reports

Get detailed performance reports and validation metrics for your models, without direct access to raw patient data.

Ready to Test Your AI Model?

Join our federated testing network and validate your healthcare AI models across multiple institutions with privacy-preserving technology.