{
  "abstract": "Adolescent idiopathic scoliosis (AIS) surgery requires precise fusion segment selection and reliable prediction of postoperative alignment, yet current tools lack individualized, validated solutions. We developed ScoliosisPLAN, an AI-based system integrating a YOLOv8-derived segmentation model (ScolioPlanNet) for personalized fusion planning and a latent diffusion model (ScolioPredNet) for simulating postoperative radiographs. In a retrospective development cohort and prospectively collected internal and external validation cohorts of 1425 patients with ≥2-year follow-up, the system achieved performance comparable to experienced surgeons in replicating fusion planning decisions and predicted key radiographic outcomes within clinically acceptable error margins. ScoliosisPLAN provides an interpretable, data-driven framework linking surgical strategy to outcome prediction, supporting standardized, patient-specific decision-making in AIS care.",
  "abstract_shown": true,
  "affiliations": [
    "Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University",
    "National Key Laboratory for Novel Software Technology, School of Computer Science, Nanjing University",
    "Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong",
    "Department of Orthopedics, Peking Union Medical College Hospital",
    "State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University",
    "David R. Cheriton School of Computer Science, University of Waterloo"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 22,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zhong He"
    },
    {
      "affs": [
        1
      ],
      "name": "Neng Lu"
    },
    {
      "affs": [
        0
      ],
      "name": "Yi Chen"
    },
    {
      "affs": [
        2
      ],
      "name": "Kenneth Guangpu Yang"
    },
    {
      "affs": [
        2
      ],
      "name": "Adam Yiu-Chung Lau"
    },
    {
      "affs": [
        3
      ],
      "name": "Shengru Wang"
    },
    {
      "affs": [
        4
      ],
      "name": "Shanqi Shen"
    },
    {
      "affs": [
        2
      ],
      "name": "Elvis Chun-Sing Chui"
    },
    {
      "affs": [
        0
      ],
      "name": "Zhen Liu"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaodong Qin"
    },
    {
      "affs": [
        0
      ],
      "name": "Zhenhua Feng"
    },
    {
      "affs": [
        5
      ],
      "name": "Yimu Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Yong Qiu"
    },
    {
      "affs": [
        2
      ],
      "name": "Wayne Yuk-Wai Lee"
    },
    {
      "affs": [
        2
      ],
      "name": "Jack Chun-Yiu Cheng"
    },
    {
      "affs": [
        0
      ],
      "name": "Hifza Babar"
    },
    {
      "affs": [
        0
      ],
      "name": "Jie Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Xipu Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Minxuan Sun"
    },
    {
      "affs": [
        0
      ],
      "name": "Dong Xie"
    },
    {
      "affs": [
        0
      ],
      "name": "Zezhang Zhu"
    },
    {
      "affs": [
        1
      ],
      "name": "Wu-Jun Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1xskdb2jcmhf3.bib",
  "cited_by": 2,
  "doi": "10.1038/s41746-026-02934-6",
  "fulltext_url": "https://doi.org/10.1038/s41746-026-02934-6",
  "id": "1xskdb2jcmhf3",
  "issns": [
    "2398-6352"
  ],
  "landing_url": "https://doi.org/10.1038/s41746-026-02934-6",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "R858-859.7"
    ],
    [
      "openalex",
      "2746|Scoliosis diagnosis and treatment"
    ]
  ],
  "openalex": "W7166818464",
  "pdf_url": "https://www.nature.com/articles/s41746-026-02934-6_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/1xskdb2jcmhf3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:46:23Z",
      "native_id": "7c53ba4122fc4c06879900335075215b",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41746-026-02934-6"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2746|Scoliosis diagnosis and treatment",
      "subfield": "surgery"
    }
  ],
  "title": "Artificial intelligence for scoliosis surgical planning and postoperative prediction",
  "title_text": "Artificial intelligence for scoliosis surgical planning and postoperative prediction",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:46:23Z",
  "url": "https://research.draconitic.com/paper/1xskdb2jcmhf3",
  "venue": "npj Digital Medicine",
  "versions": []
}