Diagnostic accuracy of deep learning-based algorithms in laryngoscopy: a systematic review and meta-analysis

Purpose Laryngoscopy is routinely used for suspicious vocal cord lesions with limited performance. Accumulated studies have demonstrated the bright prospect of deep learning in processing medical imaging. In this study, we perform a systematic review and meta-analysis to investigate diagnostic utili...

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Bibliographic Details
Published in:	European archives of oto-rhino-laryngology Vol. 282; no. 1; pp. 351 - 360
Main Authors:	Du, Shengyi, Guo, Jin, Huang, Donghai, Liu, Yong, Zhang, Xin, Lu, Shanhong
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2025 Springer Nature B.V
Subjects:	Algorithms Deep Learning Head and Neck Surgery Humans Laryngeal Neoplasms - diagnosis Laryngeal Neoplasms - diagnostic imaging Laryngology Laryngoscopy - methods Medicine Medicine & Public Health Neurosurgery Otorhinolaryngology Sensitivity and Specificity Deep learning Accuracy Diagnosis Laryngoscopy
ISSN:	0937-4477, 1434-4726, 1434-4726
Online Access:	Get full text
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