Federated AI Radiology Reporting — Without Sharing Patient Data
Diagnosis automation and BI-RADS reporting that never transfers sensitive medical images.
Federated Learning — Explained Simply
Our approach keeps sensitive medical data secure while enabling powerful AI collaboration across healthcare institutions.
Official Federated Learning Workflow — Harmonia Vision
Patient data remains inside each hospital
Only encrypted AI parameters are exchanged
Global model continuously improves
Doctors receive faster, more accurate reporting
Benefits
Harmonia Vision delivers measurable value for both healthcare providers and institutions.
For Doctors
Faster reporting workflow
Reduce report turnaround time with AI-assisted diagnostics and automated BI-RADS categorization.
Less manual dictation
AI generates comprehensive preliminary reports, minimizing time spent on documentation.
Click-to-edit BI-RADS
Intuitive interface allows quick review and modification of AI-suggested classifications.
For Hospitals
Reduce reporting cost
Lower operational expenses by streamlining the diagnostic workflow and reducing manual labor.
Improve throughput
Process more cases efficiently while maintaining high diagnostic accuracy standards.
Meet privacy regulation standards
Stay compliant with KVKK, GDPR, and healthcare data protection requirements.
Compliance
Built to meet the strictest healthcare data protection and regulatory standards.
KVKK
Kişisel Verilerin Korunması Kanunu
Turkish Personal Data Protection Law compliance ensuring patient data sovereignty.
GDPR
General Data Protection Regulation
European data protection standards for cross-border healthcare collaboration.
ISO 27001
Information Security Management
International standard for secure information management systems.
TİTCK
Türkiye İlaç ve Tıbbi Cihaz Kurumu
Turkish Medicines and Medical Devices Agency regulatory approval.
Why Harmonia Vision
The future of radiology AI — privacy-first, clinically validated, built for scale.
“Clinical accuracy meets privacy.”
“Federated intelligence built for radiology.”
“AI that learns from hospitals — without collecting their data.”