Artificial Intelligence in Laryngeal Cancer Detection: A Systematic Review and Meta-Analysis

Artificial Intelligence in Laryngeal Cancer Detection: A Systematic Review and Meta-Analysis

(1) Background: The early detection of laryngeal cancer is crucial for achieving superior patient outcomes and preserving laryngeal function. Artificial intelligence (AI) methodologies can expedite the triage of suspicious laryngeal lesions, thereby diminishing the critical timeframe required for cl...

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Bibliographic Details
Main Authors: Ali Alabdalhussein, Mohammed Hasan Al-Khafaji, Rusul Al-Busairi, Shahad Al-Dabbagh, Waleed Khan, Fahid Anwar, Taghreed Sami Raheem, Mohammed Elkrim, Raguwinder Bindy Sahota, Manish Mair
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Current Oncology
Subjects:
artificial intelligence (AI)
machine learning
laryngeal cancer
laryngoscopy
otolaryngology
Online Access:https://www.mdpi.com/1718-7729/32/6/338
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