PAEDIATRIC SPINE DEFORMITY CARE
Digital Twin Revolutionizes Scoliosis Management
This study introduces the first digital twin for the analog scoliometer, enabling fast, gravity-independent, reliable, and accurate digital Angle of Trunk Rotation (ATR) measurements from patient-specific 3D virtual models. This innovation mimics the physical measurement process in a virtual environment, showing excellent intra-user (<0.95) and inter-user (<0.95) reliability. The digital measurements highly correlated (0.897) and agreed (92.7%) with clinical analog measurements. With a 6º cut-off, the tool achieved a sensitivity of 90.24% and specificity of 92.31%. This development marks a significant advancement for telehealth in paediatric spine deformity management, providing a crucial tool for remote assessment and monitoring.
Executive Impact: Advancing Telehealth for Spinal Health
The introduction of a digital twin for the scoliometer addresses critical gaps in current scoliosis care, particularly for remote patients. By enabling accurate and reliable Angle of Trunk Rotation (ATR) measurements from 3D virtual models, this technology reduces the need for frequent in-person clinic visits, mitigating significant temporal, financial, and emotional stress on families. This innovation has the potential to streamline diagnosis, improve monitoring of deformity progression, and facilitate timely intervention, ultimately leading to better patient outcomes and reduced rates of avoidable surgical correction. Its integration into telehealth protocols promises enhanced accessibility to specialist care, particularly in underserved rural and remote areas, transforming paediatric spine deformity management into a more efficient, patient-centric system.
Agreement with Analog Measurements
Reliability (Intra-user)
Sensitivity at 6º Cut-off
Specificity at 6º Cut-off
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Algorithm Development and Validation
The core of this innovation is a digital twin that replicates the physical scoliometer's function in a virtual environment. This involves importing patient 3D mesh models, defining a region of interest (ROI) along the spine, and measuring the Angle of Trunk Rotation (ATR) using an arc-fitting algorithm. This parametric design ensures semi-automated, controlled, and streamlined measurements.
Consistent and Repeatable Measurements
The study demonstrated excellent intra-user reliability (ICC > 0.97) for all users, indicating consistent measurements by the same individual over time. Inter-user reliability was also found to be excellent (ICC > 0.97), ensuring that different clinicians can achieve comparable results. This high repeatability significantly surpasses traditional analog scoliometer variability, establishing the digital twin as a robust diagnostic and monitoring tool.
High Correlation with Clinical Standards
The digital ATR measurements showed a high positive correlation (0.897) with clinically measured analog ATR values, affirming its accuracy. Furthermore, 92.7% of measurements were in agreement with analog methods, well within the limits of agreement. This strong validation confirms the digital twin's capability to serve as a reliable digital alternative to current clinical practices, enhancing confidence in its application for remote patient assessment.
of digital measurements agreed with analog measurements, demonstrating high congruence.
Enterprise Process Flow
Import Patient Mesh Model
→
Define Spine Curve with User Points
→
Define Region of Interest (ROI)
→
Measure Maximum ATR
| Feature | Digital Twin | Analog Scolio-meter |
|---|---|---|
| Measurement Method |
|
|
| Gravity Dependency |
|
|
| Telehealth Capability |
|
|
| Reliability (ICC) |
|
|
| Measurement Range |
|
|
| Parallax Error |
|
|
Case Study: Remote Monitoring of AIS Patients
A subset of 35 AIS patients, scanned pre-operatively and two months post-operatively, were included from an existing historical 3DSS database. The digital twin tool was successfully applied to these patient-specific 3D models, demonstrating its capacity for monitoring changes in trunk rotation following surgical intervention. This proves the digital twin's ability to track deformity progression and treatment effects remotely, aligning with key objectives for telehealth in paediatric spine deformity care. The integration of such tools reduces the burden of frequent in-person visits for post-operative monitoring, allowing for efficient and accurate follow-up from a distance.
Impact: Improved post-operative monitoring efficiency and reduced patient travel burden.
Calculate Your Potential ROI
Estimate the efficiency gains and cost savings by implementing our advanced AI solutions in your operations.
Estimated Annual Savings
Annual Hours Reclaimed
Implementation Roadmap
Our proven approach ensures a smooth integration and rapid value realization for your enterprise.
Phase 1: Discovery & Strategy
Collaborate to understand your specific needs, assess current workflows, and define key objectives for AI integration. This includes data readiness assessment and preliminary ROI projections.
Phase 2: Digital Twin Customization & Validation
Tailor the digital twin algorithm to your clinical protocols, integrate with existing 3D scanning infrastructure (or recommend solutions), and conduct rigorous validation using patient data to ensure accuracy and reliability.
Phase 3: Pilot Deployment & User Training
Deploy the digital twin in a controlled pilot environment. Provide comprehensive training for clinical staff, focusing on seamless integration into daily workflows and maximizing user adoption.
Phase 4: Full-Scale Rollout & Continuous Optimization
Expand the digital twin solution across your enterprise, continuously monitor performance, gather feedback, and iterate for ongoing improvements and enhanced efficiency.
Ready to Transform Your Operations?
Our AI experts are ready to help you unlock the full potential of advanced analytics and digital twins. Schedule a consultation to begin your journey.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat