Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence.

IF 1.6 Q3 CLINICAL NEUROLOGY Spine deformity Pub Date : 2024-11-01 Epub Date: 2024-08-17 DOI:10.1007/s43390-024-00940-w
Samuel N Goldman, Aaron T Hui, Sharlene Choi, Emmanuel K Mbamalu, Parsa Tirabady, Ananth S Eleswarapu, Jaime A Gomez, Leila M Alvandi, Eric D Fornari
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Abstract

Purpose: Adolescent idiopathic scoliosis (AIS) is a common spinal deformity with varying progression, complicating treatment decisions. Artificial intelligence (AI) and machine learning (ML) are increasingly prominent in orthopedic care, aiding in diagnosis, risk-stratification, and treatment guidance. This scoping review outlines AI applications in AIS.

Methods: This study followed PRISMA-ScR guidelines and included articles that reported the development, use, or validation of AI models for treating, diagnosing, or predicting clinical outcomes in AIS.

Results: 40 full-text articles were included, with most studies published in the last 5 years (77.5%). Common ML techniques were convolutional neural networks (55%), decision trees and random forests (15%), and artificial neural networks (15%). Most AI applications in AIS were for imaging analysis (25/40; 62.5%), focusing on automatic measurement of Cobb angle, and axial vertebral rotation (13/25; 52%) and curve classification/severity (13/25; 52%). Prediction was the second most common application (15/40; 37.5%), with studies predicting curve progression (9/15; 60%), and Cobb angles (9/15; 60%). Only 15 studies (37.5%) reported clinical implementation guidelines for AI in AIS management. 52.5% of studies reported model accuracy, with an average of 85.4%.

Conclusion: This review highlights the applications of AI in AIS care, notably including automatic radiographic analysis, curve type classification, prediction of curve progression, and AIS diagnosis. However, the current lack of clear clinical implementation guidelines, model transparency, and external validation of studied models limits clinician trust and the generalizability and applicability of AI in AIS management.

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人工智能在青少年特发性脊柱侧凸中的应用:证据图谱。
目的:青少年特发性脊柱侧凸(AIS)是一种常见的脊柱畸形,其发展程度不一,使治疗决策变得复杂。人工智能(AI)和机器学习(ML)在骨科治疗中的作用日益突出,有助于诊断、风险分级和治疗指导。本范围综述概述了人工智能在 AIS 中的应用:本研究遵循 PRISMA-ScR 指南,收录了报道人工智能模型在 AIS 治疗、诊断或临床结果预测中的开发、使用或验证的文章:共收录了 40 篇全文文章,大部分研究发表于过去 5 年(77.5%)。常见的 ML 技术有卷积神经网络(55%)、决策树和随机森林(15%)以及人工神经网络(15%)。人工智能在 AIS 中的大多数应用是用于成像分析(25/40;62.5%),重点是自动测量 Cobb 角和轴向椎体旋转(13/25;52%)以及曲线分类/严重程度(13/25;52%)。预测是第二大最常见的应用(15/40;37.5%),有研究预测曲线进展(9/15;60%)和 Cobb 角(9/15;60%)。只有 15 项研究(37.5%)报告了人工智能在 AIS 管理中的临床实施指南。52.5%的研究报告了模型的准确性,平均准确率为85.4%:本综述强调了人工智能在 AIS 治疗中的应用,主要包括自动放射学分析、曲线类型分类、曲线进展预测和 AIS 诊断。然而,由于目前缺乏明确的临床实施指南、模型透明度以及所研究模型的外部验证,限制了临床医生对人工智能的信任以及人工智能在 AIS 管理中的普及性和适用性。
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来源期刊
CiteScore
3.20
自引率
18.80%
发文量
167
期刊介绍: Spine Deformity the official journal of the?Scoliosis Research Society is a peer-refereed publication to disseminate knowledge on basic science and clinical research into the?etiology?biomechanics?treatment?methods and outcomes of all types of?spinal deformities. The international members of the Editorial Board provide a worldwide perspective for the journal's area of interest.The?journal?will enhance the mission of the Society which is to foster the optimal care of all patients with?spine?deformities worldwide. Articles published in?Spine Deformity?are Medline indexed in PubMed.? The journal publishes original articles in the form of clinical and basic research. Spine Deformity will only publish studies that have institutional review board (IRB) or similar ethics committee approval for human and animal studies and have strictly observed these guidelines. The minimum follow-up period for follow-up clinical studies is 24 months.
期刊最新文献
18th International Congress on Early Onset Scoliosis and the Growing Spine : November 13-15, 2024 Scottsdale, Arizona, USA. A team approach to improve outcomes in pediatric scoliosis surgery: a review of the current literature. Research trends of biomechanics in scoliosis from 1999 to 2023: a bibliometric analysis. Is the information provided by large language models valid in educating patients about adolescent idiopathic scoliosis? An evaluation of content, clarity, and empathy : The perspective of the European Spine Study Group. What imaging does my AIS patient need? A multi-group survey of provider preferences.
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