Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State‐of‐the‐Art Review

C Sampieri, C Baldini, MA Azam… - … –Head and Neck …, 2023 - Wiley Online Library
Objective The endoscopic and laryngoscopic examination is paramount for laryngeal,
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 …

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 …

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 …

An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning

C Baldini, MA Azam, C Sampieri, A Ioppi… - European Archives of …, 2024 - Springer
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 …

Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery: Bridging the Gap Between Clinical Needs and the Promise of Artificial Intelligence

A Paderno, N Bedi, A Rau… - Otolaryngologic Clinics of …, 2024 - oto.theclinics.com
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 …

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 …

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 …

Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery

OI Nwosu, MR Naunheim - Otolaryngologic Clinics of North …, 2024 - oto.theclinics.com
Laryngology, broncho-esophagology, and sleep surgery have experienced marked
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 …