An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation

An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation

Summary: Background: Assessment of spine alignment is crucial in the management of scoliosis, but current auto-analysis of spine alignment suffers from low accuracy. We aim to develop and validate a hybrid model named SpineHRNet+, which integrates artificial intelligence (AI) and rule-based methods...

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Bibliographic Details
Main Authors: Nan Meng, Jason P.Y. Cheung, Kwan-Yee K. Wong, Socrates Dokos, Sofia Li, Richard W. Choy, Samuel To, Ricardo J. Li, Teng Zhang
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:EClinicalMedicine
Subjects:
Adolescent idiopathic scoliosis
Spine malalignment
Artificial intelligence
Deep learning
Open platform
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537021005332

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http://www.sciencedirect.com/science/article/pii/S2589537021005332

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