Otolaryngology

Construction of prediction model of early glottic cancer based on machine learning.

BACKGROUND: The early diagnosis of glottic laryngeal cancer is the key to successful treatment, and ...

American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Report on Artificial Intelligence.

This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task ...

Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.

OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryn...

Self-Attention Mechanisms-Based Laryngoscopy Image Classification Technique for Laryngeal Cancer Detection.

BACKGROUND: The early diagnosis of laryngeal cancer (LCA) is crucial for prognosis, driving our sear...

Utilization of Artificial Intelligence in the Creation of Patient Information on Laryngology Topics.

OBJECTIVE: To evaluate and compare the readability and quality of patient information generated by C...

Diagnostic accuracy of deep learning-based algorithms in laryngoscopy: a systematic review and meta-analysis.

PURPOSE: Laryngoscopy is routinely used for suspicious vocal cord lesions with limited performance. ...

Comment on: Assessing the Quality and Readability of Online Patient Information: ENT UK Patient Information e-Leaflets vs Responses by a Generative Artificial Intelligence.

Development of Machine Learning Copilot to Assist Novices in Learning Flexible Laryngoscopy.

OBJECTIVES: Here we describe the development and pilot testing of the first artificial intelligence ...

Assessing the Quality and Readability of Online Patient Information: ENT UK Patient Information e-Leaflets versus Responses by a Generative Artificial Intelligence.

BACKGROUND:  The evolution of artificial intelligence has introduced new ways to disseminate health ...

Prediction of hearing recovery with deep learning algorithm in sudden sensorineural hearing loss.

This study aimed to establish a deep learning-based predictive model for the prognosis of idiopathic...

Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) pa...

Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods.

BACKGROUND: Postoperative hypoparathyroidism is a major complication of thyroidectomy, occurring whe...

Machine Learning-Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy.

OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the a...

Merging Human and Artificial Intelligence to Improve Otolaryngology Care.

The Application of Artificial Intelligence to Acoustic Data in Otolaryngology.

Artificial intelligence (AI), particularly deep learning, has revolutionized various fields through ...

Artificial Intelligence and Pediatric Otolaryngology.

Artificial intelligence (AI) studies show how to program computers to simulate human intelligence an...

Predicting Post-surgery Discharge Time in Pediatric Patients Using Machine Learning.

BACKGROUND: Prolonged hospital stays after pediatric surgeries, such as tonsillectomy and adenoidect...

AI-generated text in otolaryngology publications: a comparative analysis before and after the release of ChatGPT.

PURPOSE: This study delves into the broader implications of artificial intelligence (AI) text genera...

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

This article discusses the role of computer vision in otolaryngology, particularly through endoscopy...

Autonomous Robotic Systems in Otolaryngology-Head and Neck Surgery.

Robotic surgery is a growing field with increasing applications to patient care. With the rising use...

Artificial Intelligence in Otolaryngology - Head and Neck Surgery in the Past Decade.