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Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State‐of‐the‐Art Review
Objective The endoscopic and laryngoscopic examination is paramount for laryngeal,
oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer …
oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer …
Artificial intelligence and laryngeal cancer: from screening to prognosis: a state of the art review
Y Bensoussan, EB Vanstrum… - … –Head and Neck …, 2023 - Wiley Online Library
Objective This state of the art review aims to examine contemporary advances in
applications of artificial intelligence (AI) to the screening, detection, management, and …
applications of artificial intelligence (AI) to the screening, detection, management, and …
A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy
P Yao, D Witte, A German, P Periyakoil, YE Kim… - European Archives of …, 2024 - Springer
Purpose To develop and validate a deep learning model for distinguishing healthy vocal
folds (HVF) and vocal fold polyps (VFP) on laryngoscopy videos, while demonstrating the …
folds (HVF) and vocal fold polyps (VFP) on laryngoscopy videos, while demonstrating the …
Multi-level classification of knee cartilage lesion in multimodal MRI based on deep learning
L Zhang, Z Che, Y Li, M Mu, J Gang, Y **ao… - … Signal Processing and …, 2023 - Elsevier
The regeneration and repair ability of knee cartilage is limited, and the early clinical
symptoms of patients are not obvious, so the diagnosis of knee cartilage damage is crucial …
symptoms of patients are not obvious, so the diagnosis of knee cartilage damage is crucial …
An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning
Purpose Informative image selection in laryngoscopy has the potential for improving
automatic data extraction alone, for selective data storage and a faster review process, or in …
automatic data extraction alone, for selective data storage and a faster review process, or in …
Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery: Bridging the Gap Between Clinical Needs and the Promise of Artificial Intelligence
Vision is critical to the practice of otolaryngology and head and neck surgery (OHNS).
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Development of an artificial intelligence–based image recognition system for time-sequence analysis of tracheal intubation
YH Wu, KY Huang, ACC Tseng - Anesthesia & Analgesia, 2024 - journals.lww.com
BACKGROUND: Total intubation time (TIT) is an objective indicator of tracheal intubation (TI)
difficulties. However, large variations in TIT because of diverse initial and end targets make it …
difficulties. However, large variations in TIT because of diverse initial and end targets make it …
Laryngeal cancer screening during flexible video laryngoscopy using large computer vision models
IS Mamidi, ME Dunham, LK Adkins… - Annals of Otology …, 2024 - journals.sagepub.com
Objective: Develop an artificial intelligence assisted computer vision model to screen for
laryngeal cancer during flexible laryngoscopy. Methods: Using laryngeal images and …
laryngeal cancer during flexible laryngoscopy. Methods: Using laryngeal images and …
Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery
Laryngology, broncho-esophagology, and sleep surgery have experienced marked
technological advancements in recent years, and with this has come an increasing amount …
technological advancements in recent years, and with this has come an increasing amount …
Identifying laryngeal neoplasms in laryngoscope images via deep learning based object detection: a case study on an extremely small data set
S Fang, J Fu, C Du, T Lin, Y Yan - Irbm, 2023 - Elsevier
Objectives Laryngoscopy is a medical procedure for obtaining a view of the human larynx. It
is challenging for clinicians to distinguish laryngeal neoplasms by human visual …
is challenging for clinicians to distinguish laryngeal neoplasms by human visual …