Artificial intelligence for scoliosis surgical planning and postoperative prediction.

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Bibliographic Details
Title: Artificial intelligence for scoliosis surgical planning and postoperative prediction.
Authors: He Z; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Lu N; National Key Laboratory for Novel Software Technology, School of Computer Science, Nanjing University, Nanjing, China., Chen Y; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Yang KG; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China., Lau AY; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China., Wang S; Department of Orthopedics, Peking Union Medical College Hospital, Beijing, China., Shen S; State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China., Chui EC; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China., Liu Z; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Qin X; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Feng Z; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Wang Y; David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada., Qiu Y; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Lee WY; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China., Cheng JC; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China., Babar H; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Chen J; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Chen X; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Sun M; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Xie D; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Zhu Z; Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China. zhuzezhang@nju.edu.cn., Li WJ; National Key Laboratory for Novel Software Technology, School of Computer Science, Nanjing University, Nanjing, China. liwujun@nju.edu.cn.; Centre for Medical Big Data, Nanjing Drum Tower Hospital, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China. liwujun@nju.edu.cn.; National Institute of Healthcare Data Science at Nanjing University, Nanjing, China. liwujun@nju.edu.cn.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Jul 01. Date of Electronic Publication: 2026 Jul 01.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-026-02934-6