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人工智能与机器学习在小儿脊柱畸形手术中的应用

AI and machine learning in paediatric spine deformity surgery.

作者信息

Khan Mohsin, Ahuja Kaustubh, Tsirikos Athanasios I

机构信息

Scottish National Spine Deformity Centre, Royal Hospital for Children and Young People, Edinburgh, UK.

出版信息

Bone Jt Open. 2025 May 23;6(5):569-581. doi: 10.1302/2633-1462.65.BJO-2024-0089.R1.

Abstract

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have exceptional anatomical knowledge and precise visuospatial awareness. There is increasing demand for precision medicine, which rapid advancements in computational technologies have made possible with the recent explosion of AI and machine learning (ML). We present the surgical and ethical applications of AI and ML in diagnosis, prognosis, image processing, and outcomes in the field of paediatric spine deformity.

摘要

小儿脊柱畸形手术是一种高风险的手术。它要求外科医生具备卓越的解剖学知识和精确的视觉空间感知能力。随着人工智能(AI)和机器学习(ML)的迅速发展,精准医学的需求日益增长,计算技术的快速进步使其成为可能。我们展示了AI和ML在小儿脊柱畸形领域的诊断、预后、图像处理及结果方面的手术和伦理应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855c/12100669/c1989e055f47/BJO-2024-0089.R1-galleyfig1.jpg

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