Verfahren zur Verarbeitung Physiologischer Daten einer Wirbelsäule eines Patienten

Details

Veröffentlichungs-Nr.

EP4749634

Anmeldetag

22. November 2024

Veröffentlichung

27. Mai 2026

Rechtsraum

EP

Abstract

This invention presents a new system designed for the comprehensive detection, classification, identification, next-state prediction, and real-time monitoring of spinal pathologies using machine learning based on clinical data and medical imaging. It involves detecting pathologies, recognizing their specifics, recommending treatments, and predicting future states. The system integrates advanced imaging to create a 3D spine model, assesses muscle quality, and confirms initial evaluations with clinical data. Predictive analytics estimate disease progression and treatment outcomes. Additionally, a digital twin of the spine, with integrated sensors for real-time monitoring, enables continuous data collection and timely interventions. This comprehensive approach enhances diagnostic accuracy, treatment planning, and patient management, offering a robust solution for spinal pathology evaluation and prediction.

Anmelder

Firmen

Twiple Sim
Inoteqia Health Tech

Land

🇹🇳 TN