AI and machine learning in paediatric spine deformity surgery.

IF 2.8 Q1 ORTHOPEDICS
Mohsin Khan, Kaustubh Ahuja, Athanasios I Tsirikos
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引用次数: 0

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.

人工智能和机器学习在小儿脊柱畸形手术中的应用。
小儿脊柱畸形手术是一项高风险的手术。它要求外科医生有特殊的解剖知识和精确的视觉空间意识。随着最近人工智能和机器学习(ML)的爆炸式增长,计算技术的快速发展使精准医疗的需求日益增加。我们介绍了人工智能和机器学习在儿科脊柱畸形领域的诊断、预后、图像处理和结果方面的外科和伦理应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bone & Joint Open
Bone & Joint Open ORTHOPEDICS-
CiteScore
5.10
自引率
0.00%
发文量
0
审稿时长
8 weeks
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