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

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

SUBMITTER: Goldman SN 

PROVIDER: S-EPMC11499369 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature