Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis
Parya Valizadeh,
Payam Jannatdoust,
Mohammad-Taha Pahlevan-Fallahy
et al.
Abstract:Introduction
Head and neck cancers are the seventh most common globally, with lymph node metastasis (LNM) being a critical prognostic factor, significantly reducing survival rates. Traditional imaging methods have limitations in accurately diagnosing LNM. This meta-analysis aims to estimate the diagnostic accuracy of Artificial Intelligence (AI) models in detecting LNM in head and neck cancers.
Methods
A systematic search was performed on four databases, l… Show more
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