Development and Application of Automated Preoperative Planning System for Developmental Dysplasia of the Hip via Keypoint Selective Integration.

Jinghui Yao, Xiaoyou Fan, Yijian Wang, Zijun Gao, Xiuming Huang, Baoxue Sha, Yun Chen, Haiyan Zhang, Daozhang Cai

Abstract read

In one paragraph

Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jinghui Yao *Department of Pediatric Orthopedics, Center for Orthopedic Surgery, The Third Affiliated Hospital, Southern Medical University, The Third School of Clinical Medicine, Southern Medical University, Orthopedic Hospital of Guangdong Province, Academy of Orthopedics, Guangzhou, China.

Xiaoyou Fan *School of Big Data and Software Engineering, Chongqing University, Chongqing, China.

Yijian Wang *Department of Pediatric Orthopedics, Center for Orthopedic Surgery, The Third Affiliated Hospital, Southern Medical University, The Third School of Clinical Medicine, Southern Medical University, Orthopedic Hospital of Guangdong Province, Academy of Orthopedics, Guangzhou, China.

Zijun GaoDepartment of Pediatric Orthopedics, Center for Orthopedic Surgery, The Third Affiliated Hospital, Southern Medical University, The Third School of Clinical Medicine, Southern Medical University, Orthopedic Hospital of Guangdong Province, Academy of Orthopedics, Guangzhou, China.

Xiuming HuangPediatric Orthopedics Department, Ganzhou Maternal and Child Health Hospital, Ganzhou, China.

Baoxue ShaDepartment of Pediatric Orthopedics, Shanghai Public Health Clinical Center, Shanghai, China.

Yun ChenThe Third Affiliated Hospital of Southern Medical University, School of Nursing, Southern Medical University, Guangzhou, Guangdong, China. chenyun88@smu.edu.cn.

Haiyan ZhangDepartment of Joint Surgery, Center for Orthopedic Surgery, The Third Affiliated Hospital, Southern Medical University, The Third School of Clinical Medicine, Southern Medical University, Orthopedic Hospital of Guangdong Province, Academy of Orthopedics, Guangzhou, China. zhhy0704@126.com.

Daozhang CaiDepartment of Joint Surgery, Center for Orthopedic Surgery, The Third Affiliated Hospital, Southern Medical University, The Third School of Clinical Medicine, Southern Medical University, Orthopedic Hospital of Guangdong Province, Academy of Orthopedics, Guangzhou, China. cdz@smu.edu.cn.ORCID http://orcid.org/0000-0003-2294-5411

Funding

Guangdong Provincial Science and Technology Plan Project 2015B010128010Guangzhou Municipal Bureau of Sports ST20250986

6 · The paper itself

Abstract

This study developed and prospectively validated a deep learning-based automated preoperative planning system for developmental dysplasia of the hip (DDH) to guide osteotomy. Using 3544 anteroposterior pelvic radiographs, a selective keypoint integration strategy combining YOLOv11-Pose, YOLOv11, and YOLOv13 models achieved a mean pixel error of 9.68 pixels with 100% keypoint recall. The system automatically calculates acetabular index, neck-shaft angle, and center-edge angle, and recommends PHP plates based on predefined geometric rules and patient weight. In a multicenter randomized controlled trial with 30 DDH patients and six surgeons, AI planning reduced time from 170.5 ± 4.7 s (manual) to 0.0606 s (P < 0.001), matched expert acetabular index accuracy (P = 0.327), showed slightly higher but clinically acceptable neck-shaft angle error (P < 0.001), and achieved 92.3% plate recommendation concordance (P = 0.106). This first prospective RCT demonstrates expert-level DDH planning in seconds, advancing AI toward surgical guidance. Clinical trial registration: ChiCTR2600119719 (registered on 2026-03-03).

Indexed as

Deep learningDevelopmental dysplasia of the hipKeypoint detectionModel ensemblePreoperative planningRandomized controlled trial

Identifiers

PMID42527794

DOI10.1109/TPAMI.2023.3330016

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.