Results 81 to 90 of about 12,401 (254)

Comprehensive Evaluation of AI Consent Forms in Otolaryngologic Surgery

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Surgical consent documents are frequently written at reading levels exceeding average health literacy. Large language models (LLMs) may offer a scalable approach to generating clearer, procedure‐specific consent forms. This study evaluated the clarity, clinical accuracy, and acceptability of consent forms generated by GPT‐4 and ...
Sholem Hack   +15 more
wiley   +1 more source

Quality and Readability of Websites on Tongue Base Procedures for Pediatric Obstructive Sleep Apnea

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives Tongue base obstruction is a cause of persistent sleep apnea after adenotonsillectomy in pediatric patients. The internet is the most used tool by patients for gathering healthcare information. This study aims to assess the quality and readability of websites directed to patients regarding tongue base procedures for pediatric ...
Nathan G. Rasmussen   +2 more
wiley   +1 more source

Free Field Word recognition test in the presence of noise in normal hearing adults

open access: yesBrazilian Journal of Otorhinolaryngology
Introduction: In ideal listening situations, subjects with normal hearing can easily understand speech, as can many subjects who have a hearing loss. Objective: To present the validation of the Word Recognition Test in a Free Field in the Presence of ...
Gleide Viviani Maciel Almeida   +2 more
doaj   +1 more source

Speech Recognition Deficits in Presbyacusis: Links to Cortical Structural and Functional Alterations

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To characterize speech recognition in presbyacusis and its associated neurophysiological and cortical structural features, and to explore structure‐function‐behavior relationships within the presbyacusis phenotype. Methods Thirty elderly patients with presbyacusis(HI) and thirty‐three healthy young controls(NH) completed a behavioral
Xiao‐Qian Ren   +8 more
wiley   +1 more source

Transoral Robotic Resection of Glossopharyngeal Neurofibroma: A Case Report

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT This case highlights the diagnostic challenges posed by rare oropharyngeal neurofibromas, their potential to mimic other conditions, and the novel application of transoral robotic surgery (TORS) for the management of an oropharyngeal neurofibroma. A 47‐year‐old female presented with a 1‐year history of a left tonsillar mass.
Cody L. Messick   +7 more
wiley   +1 more source

Automated Measurement of Speech Recognition, Reaction Time, and Speech Rate and Their Relation to Self-Reported Listening Effort for Normal-Hearing and Hearing-Impaired Listeners Using various Maskers

open access: yesTrends in Hearing
In speech audiometry, the speech-recognition threshold (SRT) is usually established by adjusting the signal-to-noise ratio (SNR) until 50% of the words or sentences are repeated correctly.
Inga Holube   +4 more
doaj   +1 more source

Evaluating ChatGPT's Reliability in Analyzing Facial Asymmetry: A Comparative Study With Human Evaluators Using Cross Sectional Static Images

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Facial asymmetry assessment is often subjective and time intensive, thus we aim to evaluate reliability of ChatGPT in analyzing facial asymmetry compared to human raters. Methods Thirty patients with unilateral facial paralysis who underwent facial reanimation surgery were included in this study.
Ali B. Jafar   +2 more
wiley   +1 more source

Disparities in AI‐Based Prior Authorization for Head and Neck Reconstruction: A Large Language Model Analysis

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Large language models (LLM) are being rapidly integrated into healthcare, particularly to streamline time‐ and labor‐intensive administrative processes. However, the potential for artificial intelligence (AI) systems to demonstrate bias when employed for insurance authorization remains poorly understood.
Shannon S. Wu   +3 more
wiley   +1 more source

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