Annals of the Royal College of Surgeons of England
Apr 3, 2025
INTRODUCTION: Every patient admitted to hospital should receive a discharge letter when they leave. Artificial intelligence (AI) has the capability to fulfil this task. Here, we investigate the use of AI to generate discharge letters compared with le...
International journal of pediatric otorhinolaryngology
Oct 15, 2024
OBJECTIVE: This study aimed to evaluate the potential integration of artificial intelligence (AI), specifically ChatGPT, into healthcare decision-making, focusing on its alignment with expert consensus statements regarding the management of persisten...
BACKGROUND: As artificial intelligence (AI) is integrating into the healthcare sphere, there is a need to evaluate its effectiveness in the various subspecialties of medicine, including otolaryngology. Our study intends to provide a cursory review of...
International journal of pediatric otorhinolaryngology
Jun 13, 2022
OBJECTIVES: Transoral robotic surgery in adults confers excellent results and decreased morbidity. Application of these techniques has not yet been rigorously investigated in children. The goal of this study is to evaluate the feasibility of a flexib...
BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually for treatment of obstructive sleep disordered breathing (oSDB). Although polysomnography is beneficial for preoperative risk stratification in these chi...
INTRODUCTION: Radiofrequency tissue ablation (RFTA) and transoral robotic surgery (TORS) are the methods used in OSAS surgery. We also aimed to compare the advantages and disadvantages of RF and TORS as treatment methods applied in OSAS patients in t...
The Annals of otology, rhinology, and laryngology
Sep 21, 2015
OBJECTIVE: Assess the use and potential benefits of a new robotic system for transoral radical tonsillectomy, transoral supraglottic laryngectomy, and retroauricular thyroidectomy in a cadaver dissection.
OBJECTIVES/HYPOTHESIS: To evaluate the safety and feasibility of the da Vinci Surgical System in transoral robotic-assisted surgery for benign indications.
PURPOSE: This study aimed to evaluate the diagnostic accuracy, comprehensiveness, and clinical relevance of two advanced artificial intelligence (AI) models, OpenAI's ChatGPT-4.0 and DeepSeek-R1, in the field of otolaryngology.
AIM: In the pediatric surgical population, Emergence Delirium (ED) poses a significant challenge. This study aims to develop and validate machine learning (ML) models to identify key features associated with ED and predict its occurrence in children ...
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