AIMC Topic: Laryngoscopy

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Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

Anesthesia and analgesia Nov 15, 2024
BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis, with a specific focus on videolaryngoscopy procedures. The research aimed to explore how dataset diversity and size affect the performance of machine...
Video Recording Datasets as Topic Laryngoscopy Humans Machine Learning Image Processing, Computer-Assisted Social Media
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Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.

Journal of perinatology : official journal of the California Perinatal Association Nov 13, 2024
OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryngoscopy (VL) by automating the detection of the glottic opening in neonates, as a step toward future studies on improving intubation outcomes.
Humans Female Infant, Newborn Laryngoscopy Intubation, Intratracheal Glottis Male Deep Learning Video Recording Video-Assisted Techniques and Procedures
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Self-Attention Mechanisms-Based Laryngoscopy Image Classification Technique for Laryngeal Cancer Detection.

Head & neck Nov 11, 2024
BACKGROUND: The early diagnosis of laryngeal cancer (LCA) is crucial for prognosis, driving our search for an accurate, precise, and sensitive deep learning model to assist in LCA detection.
Middle Aged Neural Networks, Computer Deep Learning Female Early Detection of Cancer Humans Male Laryngoscopy Laryngeal Neoplasms
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Diagnostic accuracy of deep learning-based algorithms in laryngoscopy: a systematic review and meta-analysis.

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 Oct 24, 2024
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 revie...
Deep Learning Laryngoscopy Humans Laryngeal Neoplasms Algorithms Sensitivity and Specificity
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Development of Machine Learning Copilot to Assist Novices in Learning Flexible Laryngoscopy.

The Laryngoscope Oct 3, 2024
OBJECTIVES: Here we describe the development and pilot testing of the first artificial intelligence (AI) software "copilot" to help train novices to competently perform flexible fiberoptic laryngoscopy (FFL) on a mannikin and improve their uptake of ...
Clinical Competence Fiber Optic Technology Laryngoscopy Software Humans Manikins Prospective Studies Machine Learning Pilot Projects
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A lightweight intelligent laryngeal cancer detection system for rural areas.

American journal of otolaryngology Aug 8, 2024
OBJECTIVE: Early diagnosis of laryngeal cancer (LC) is crucial, particularly in rural areas. Despite existing studies on deep learning models for LC identification, challenges remain in selecting suitable models for rural areas with shortages of lary...
Early Detection of Cancer Laryngoscopy Laryngeal Neoplasms Humans Deep Learning Rural Population
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New developments in the application of artificial intelligence to laryngology.

Current opinion in otolaryngology & head and neck surgery Jul 24, 2024
PURPOSE OF REVIEW: The purpose of this review is to summarize the existing literature on artificial intelligence technology utilization in laryngology, highlighting recent advances and current barriers to implementation.
Otolaryngology Humans Laryngeal Diseases Artificial Intelligence Laryngoscopy
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Using Machine Learning for Endoscopic Detection of Low-Grade Subglottic Stenosis: A Proof of Principle.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jul 17, 2024
The current study trains, tests, and evaluates a deep learning algorithm to detect subglottic stenosis (SGS) on endoscopy. A retrospective review of patients undergoing microlaryngoscopy-bronchoscopy was performed. A pretrained image classifier (Resn...
Proof of Concept Study Laryngoscopy Laryngostenosis Middle Aged Deep Learning Bronchoscopy Female Male Humans Machine Learning Algorithms Retrospective Studies
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Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.

Scientific reports Jun 20, 2024
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway management and patient safety. The present study proposed an AI model that would accurately predict DDL using a small number of bedside pictures of the p...
Adult Male Middle Aged Female Aged Smartphone Deep Learning Laryngoscopy Intubation, Intratracheal Humans ROC Curve Prospective Studies Image Processing, Computer-Assisted
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New Model and Public Online Prediction Platform for Risk Stratification of Vocal Cord Leukoplakia.

The Laryngoscope Jun 3, 2024
OBJECTIVE: To extract texture features from vocal cord leukoplakia (VCL) images and establish a VCL risk stratification prediction model using machine learning (ML) techniques.
Adult Sensitivity and Specificity Male Middle Aged Risk Assessment Vocal Cords Humans ROC Curve Laryngoscopy Machine Learning Leukoplakia Retrospective Studies Female Aged
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