A study on the feasibility and initial outcomes of artificial intelligence-assisted preoperative planning for hip revision surgery
Jiaqing Zhu, Tianwei Xia, Shanbin Zheng, Lu Wang, Dawei Huan, Xindong Yin, Yong Ma, Jirong Shen

TL;DR
This study shows that AI-assisted preoperative planning for hip revision surgery is feasible and improves patient outcomes.
Contribution
The paper presents early clinical evidence of AI's effectiveness in hip revision surgery planning.
Findings
AI-assisted planning achieved precise prosthesis size matching in most cases.
Postoperative HHS scores significantly improved compared to preoperative scores.
AI simplifies complex revision surgeries through accurate individualized planning.
Abstract
The aim of this study was to explore the early and midterm efficacy of artificial intelligence (AI) involvement in assisted hip revision surgery and to summarize our clinical experience. Clinical data were collected from 38 patients (39 hips) who underwent hip revision surgery and preoperative planning using AI technology in our hospital between June 2019 and November 2024. The cohort included 17 men and 22 women, with a mean age of 70.33 ± 10.42 years (range 44–90 years). Mean follow-up time was 39.67 ± 16.76 months (range 7–72 months). The initial revision was performed in 37 hips, second revision in three hips, and third revision in one hip. The function of the affected limb was evaluated using Harris Hip Scoring System (HHS) at preoperative and postoperative nodes. In this study, 38 patients were monitored for 7–72 months, with a mean follow-up of 34.64 ± 16.54 months. Matching of…
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Taxonomy
TopicsOrthopaedic implants and arthroplasty · Total Knee Arthroplasty Outcomes · Hip disorders and treatments
