Can an Artificial Intelligence Application Raise Awareness of Dislocation Risk After Total Hip Arthroplasty?

Area of Science:

• Orthopedic Surgery
• Medical Artificial Intelligence
• Biomechanical Analysis

Background:

• Dislocation is a significant complication following total hip arthroplasty (THA).
• The hip-spine relationship is a key factor in hip instability and post-THA dislocation.
• Current static radiographic assessments have limitations in evaluating dynamic hip-spine interactions.

Purpose of the Study:

• To evaluate a novel artificial intelligence (AI)-based application for real-time analysis of hip-spine motion.
• To dynamically assess hip-spine stiffness preoperatively as a predictor of dislocation risk.
• To compare the utility of dynamic AI assessment with static radiographic methods.

Main Methods:

• An AI application was used to assess preoperative hip and spine flexibility during sit-to-stand, forward flexion, and standing maneuvers.
• Key joint angles (neck, spine, trunk, knee) were measured.
• Acetabular component positioning (abduction, anteversion) was confirmed.

Main Results:

• Nineteen patients undergoing THA were evaluated with a minimum 12-month follow-up.
• No postoperative hip dislocations were observed in the study cohort.
• The AI tool provided dynamic measurements of hip-spine motion and flexibility.

Conclusions:

• The AI-based tool shows potential as a clinical method for evaluating the hip-spine relationship and predicting dislocation risk.
• Dynamic AI assessment may offer superior accuracy compared to static radiographs for capturing functional movements.
• This tool could enhance surgical planning, especially for high-risk THA patients.