Latest AI and machine learning research in otolaryngology for healthcare professionals.
This article explores artificial intelligence's (AI's) role in otolaryngology for head and neck canc...
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway man...
: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually eve...
The study delves into the crucial role of standardization, collaboration, and education in the integ...
The increasing development of artificial intelligence (AI) generative models in otolaryngology-head ...
To fuel artificial intelligence (AI) potential in clinical practice in otolaryngology, researchers m...
Successful artificial intelligence (AI) implementation is predicated on the trust of clinicians and ...
OBJECTIVE: Develop an artificial intelligence assisted computer vision model to screen for laryngeal...
OBJECTIVE: The recommended readability of health education materials is at the sixth-grade level. Ar...
Use of artificial intelligence (AI) is expanding exponentially as it pertains to workflow operations...
Incorporating artificial Intelligence and machine learning into otolaryngology requires careful data...
PURPOSE: Informative image selection in laryngoscopy has the potential for improving automatic data ...
To evaluate the response capabilities, in a public healthcare system otolaryngology job competition ...
OBJECTIVE: The primary focus of this study was to analyze the adoption of ChatGPT among Ear, Nose, a...
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital lary...
Otolaryngologists can enhance workflow efficiency, provide better patient care, and advance medical ...
INTRODUCTION: Letters of recommendation (LORs) are a highly influential yet subjective and often eni...
Many open-access artificial intelligence (AI)-based websites that rate facial attractiveness are av...