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Medical Field - AI-Driven Orthopedic Traction

Medical Field - AI-Driven Orthopedic Traction

Clinical Requirements

 

Sub-millimeter reduction accuracy for pelvic ring fractures

Real-time force modulation (0-150N range)

MRI compatibility (4.7T field strength)

Smart Wire Rope System Architecture

 

Material Innovation

 

Core Material: NiTiNOL SE508 (superelastic grade)

Transformation temperatures:

A_f: 28°C ±1°C

M_s: -15°C ±2°C

Surface Engineering:

5μm Parylene-C coating (ASTM F2475 compliant)

Antibacterial silver nanoparticles (0.3% w/w)


Force Control System

 

Closed-loop feedback mechanism:

Parameter Specification

Force resolution 0.05 N

Response time 8 ms

Hysteresis compensation 98.7% accuracy


Clinical Trial Data

 

Multi-center Study (n=217 patients):

Metric Conventional Smart System

Reduction accuracy 2.7±1.1mm 0.4±0.2mm

Operation time 142±38min 67±12min

Radiation exposure 312±89s 84±21s


Surgical Workflow Integration

 

Pre-op planning: CT/MRI fusion with 3D fracture mapping

Intra-op navigation: Optical tracking with 0.15mm accuracy

Post-op monitoring: Smart bandage with strain sensors


Medical Field - AI-Driven Orthopedic Traction

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