Comparing AI-Guided and Surgeon-Planned Screw Placement in Femoral Neck Fracture Surgery A Study to Improve Accuracy and Recovery After Hip Fracture Fixation

What this Trial Is About

This clinical trial focuses on adults diagnosed with femoral neck fractures who are candidates for cannulated screw fixation surgery. It aims to compare the use of artificial intelligence AI assistance versus surgeon-directed planning for screw path placement during freehand percutaneous femoral neck fracture fixation. The study explores whether AI guidance can improve accuracy of screw placement, reduce surgical time and fluoroscopy exposure, lower blood loss, decrease surgeon workload, and improve functional recovery while reducing complications. Participants will be randomly assigned to one of two groups an AI-assisted screw path planning group where an AI system suggests screw entry points and trajectories based on intraoperative X-ray images, and a surgeon-directed planning group where screw placement decisions are made manually by the surgeon. Surgeons in the AI-assisted group will generally follow the AI recommendations unless modifications are necessary. Both groups will receive standard perioperative care and follow-up. During the 12-month follow-up, participants will undergo clinical assessments, imaging studies, and have intraoperative and postoperative data collected, including radiographic accuracy of screw placement on postoperative day 1, fluoroscopy exposures, operative time, blood loss, drilling attempts, surgeon workload, functional recovery scores, and complication rates. These measurements will help determine the impact of AI-assisted planning on surgical precision, patient recovery, and safety outcomes.

Artificial Intelligence-Assisted vs Surgeon-Planned Trajectories in Freehand Femoral Neck Screw Fixation