AIMC Topic: Stroboscopy

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Artificial intelligence based diagnosis of sulcus: assesment of videostroboscopy via deep learning.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jul 13, 2024
PURPOSE: To develop a convolutional neural network (CNN)-based model for classifying videostroboscopic images of patients with sulcus, benign vocal fold (VF) lesions, and healthy VFs to improve clinicians' accuracy in diagnosis during videostroboscop...
Humans Neural Networks, Computer Artificial Intelligence Female Male Deep Learning Video Recording Vocal Cords Stroboscopy Laryngostenosis
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Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.

Scientific reports Apr 23, 2024
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryng...
Humans Neural Networks, Computer Artificial Intelligence Aged Adult Male Middle Aged Case-Control Studies Squamous Cell Carcinoma of Head and Neck Support Vector Machine Vocal Cord Paralysis Vocal Cords Voice Disorders Health Laryngeal Neoplasms Laryngeal Diseases Voice Quality Stroboscopy
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