ORIGINAL RESEARCH article
Front. Surg.
Sec. Orthopedic Surgery
This article is part of the Research TopicDigitalisation and AI in Orthopedic Surgery and Rehabilitation 4.0 - Volume IIView all 5 articles
A Study on the Feasibility and Initial Outcomes of Artificial Intelligence-Assisted Preoperative Planning for Hip Revision Surgery
Provisionally accepted
- 1Department of Orthopaedics and Traumatology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
- 2Department of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
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Objective: To explore the early and mid-term efficacy of artificial intelligence (AI) involvement in assisted hip revision surgery and to summarize our clinical experience. Methods: Clinical data of 38 patients (39 hips) who underwent hip revision surgery and preoperative planning using AI technology in our hospital from June 2019 to November 2024 were collected. There were 17 males and 22 females, age (70.33±10.42) years (range 44-90 years), follow-up time (39.67±16.76) months (range 7-72 months). The initial revision was 37 hips, the second revision was 3 hips, and the third revision was 1 hip. The function of the affected limb was evaluated using HHS (Harris Hip Scoring System) etc. at preoperative and postoperative nodes. Results: In this study, 38 patients were followed up from 7 to 72 months, with a mean follow-up of (34.64±16.54) months. AI preoperative planning prosthesis type and intraoperative replacement prosthesis matching: error ± 1 3 cases (7.69%), error ± 2 1 case (2.56%), the rest of the patients were precisely matched. The HHS scores of all patients six months postoperatively (82.99±6.91) were higher than preoperatively (33.03±7.36), and the difference was statistically significant (P < 0.05). Conclusion: AI makes complex revision surgeries simple by accurately and individually formulating preoperative planning for hip revision surgery, and the feasibility and preliminary efficacy of AI-assisted rTHA surgery are satisfactory, and AI technology-assisted orthopaedic complex surgeries are worthy of in-depth clinical research.
Keywords: artificial intelligence, Bone defects, Preoperative planning, Revision surgery, Total hip arthroplasty
Received: 09 Feb 2026; Accepted: 16 Feb 2026.
Copyright: © 2026 Zhu, Xia, SHANBIN, Wang, Huan, Yin, Ma and Shen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yong Ma
Jirong Shen
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