AIMC Topic: Laryngoscopy

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Deep-Learning-Based Representation of Vocal Fold Dynamics in Adductor Spasmodic Dysphonia during Connected Speech in High-Speed Videoendoscopy.

Journal of voice : official journal of the Voice Foundation Sep 23, 2022
OBJECTIVE: Adductor spasmodic dysphonia (AdSD) is a neurogenic dystonia, which causes spasms of the laryngeal muscles. This disorder mainly affects production of connected speech. To understand how AdSD affects vocal fold (VF) movements and hence, th...
Female Reproducibility of Results Adult Biomechanical Phenomena Humans Dysphonia Speech Acoustics Vocal Cords Laryngoscopy Vibration Speech Production Measurement Phonation Voice Quality Deep Learning Predictive Value of Tests Video Recording Image Interpretation, Computer-Assisted Male Middle Aged Case-Control Studies
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Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers.

Journal of voice : official journal of the Voice Foundation Sep 6, 2022
OBJECTIVES: The purpose of study is to improve the classification accuracy by comparing the results obtained by applying decision tree ensemble learning, which is one of the methods to increase the classification accuracy for a relatively small datas...
Adult Laryngoscopy Male Laryngeal Neoplasms Diagnosis, Computer-Assisted Humans Glottis Convolutional Neural Networks Sound Recordings Retrospective Studies Early Detection of Cancer Decision Trees Video Recording Voice
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A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy.

Journal of speech, language, and hearing research : JSLHR May 23, 2022
PURPOSE: Voice disorders are best assessed by examining vocal fold dynamics in connected speech. This can be achieved using flexible laryngeal high-speed videoendoscopy (HSV), which enables us to study vocal fold mechanics with high temporal details....
Voice Disorders Laryngoscopy Vibration Phonation Speech Video Recording Vocal Cords Larynx Glottis Humans Deep Learning
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Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection.

The Laryngoscope Nov 25, 2021
OBJECTIVES: To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) d...
Deep Learning Laryngoscopy Laryngoscopes Laryngeal Neoplasms Narrow Band Imaging Humans Artificial Intelligence Retrospective Studies
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Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System.

The Laryngoscope May 17, 2021
OBJECTIVES/HYPOTHESIS: There may be an interobserver variation in the diagnosis of laryngeal disease based on laryngoscopic images according to clinical experience. Therefore, this study is aimed to perform computer-assisted diagnosis for common lary...
Larynx Datasets as Topic Laryngoscopy Laryngeal Diseases Humans Retrospective Studies Deep Learning ROC Curve Predictive Value of Tests Feasibility Studies Image Interpretation, Computer-Assisted
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A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis.

Journal of speech, language, and hearing research : JSLHR May 17, 2021
Purpose High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold osc...
Humans Software Deep Learning Vibration Phonation Larynx Video Recording Glottis Vocal Cords Laryngoscopy
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Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height.

BMC anesthesiology Apr 21, 2021
BACKGROUND: Predicting difficult airway is challengeable in patients with limited airway evaluation. The aim of this study is to develop and validate a model that predicts difficult laryngoscopy by machine learning of neck circumference and thyroment...
Neck Datasets as Topic Laryngoscopy Thyroid Cartilage Humans Machine Learning Sensitivity and Specificity
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Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 16, 2021
OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate...
Glottis Vocal Cord Paralysis Humans Middle Aged Laryngoscopy Software Injections Artificial Intelligence Laryngoplasty Female Patient Reported Outcome Measures Video Recording Male
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Comparison of Convolutional Neural Network Models for Determination of Vocal Fold Normality in Laryngoscopic Images.

Journal of voice : official journal of the Voice Foundation Aug 30, 2020
OBJECTIVES: Deep learning using convolutional neural networks (CNNs) is widely used in medical imaging research. This study was performed to investigate if vocal fold normality in laryngoscopic images can be determined by CNN-based deep learning and ...
Deep Learning Humans Vocal Cords Neural Networks, Computer Laryngoscopy Sensitivity and Specificity
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Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas.

The Annals of otology, rhinology, and laryngology Aug 14, 2020
OBJECTIVE: Computer-aided analysis of laryngoscopy images has potential to add objectivity to subjective evaluations. Automated classification of biomedical images is extremely challenging due to the precision required and the limited amount of annot...
Larynx Granuloma, Laryngeal Ulcer Laryngoscopy Intubation, Intratracheal Neural Networks, Computer Machine Learning Intensive Care Units Respiration, Artificial Humans Image Processing, Computer-Assisted Proof of Concept Study Airway Extubation
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