Objectives: This study aimed to determine the feasibility of using Chat Generative Pre-trained Transformer (ChatGPT) (https://chatgpt.com) as a patient resource for paediatric otolaryngology conditions and assess the quality of responses generated by ChatGPT when compared with information available on the internet.
Method: ChatGPT responses to common paediatric otolaryngology conditions were compared with top internet pages for readability (Flesch Reading Ease score, word count), expediency (time taken to generate response), validity (comparison of recommendations to the American Academy of Otolaryngology Head and Neck Surgery guidelines) and consistency (changes in recommendations based on question variation).
Results: ChatGPT was more expeditious in generating responses with fewer words, albeit with higher reading scores. When compared with accredited guidelines, there was no difference in validity between these sources (internet sources and ChatGPT). Consistent responses were obtained with question variation.
Conclusion: ChatGPT may be a valuable source for patients and families in providing valid information comparable to internet materials.
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http://dx.doi.org/10.1017/S0022215124001154 | DOI Listing |
JAMA Pediatr
January 2025
Department of Pediatrics, Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario, Canada.
Importance: Detection of congenital cytomegalovirus (cCMV) infection has previously relied on targeted screening programs or clinical recognition; however, these approaches miss most cCMV-infected newborns and fail to identify those infants who are asymptomatic at birth but at risk for late-onset sensorineural hearing loss.
Objective: To determine the feasibility of using routinely collected newborn dried blood spots (DBS) in a population-based cCMV screen to identify infants at risk for hearing loss and describe outcomes of infants screened.
Design, Setting, And Participants: This diagnostic study of a population-based screening program in Ontario, Canada, took place from July 29, 2019, to July 31, 2023.
Eur Arch Otorhinolaryngol
January 2025
Department of Pediatric and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway.
Introduction: Exercise- Induced Laryngeal Obstruction (EILO) can lead to disabling exercise related dyspnea and hamper participation in physical activity. In this study, we aimed to investigate the effects of a standardized speech therapy protocol as treatment for EILO.
Methods: Patients diagnosed with EILO at our institution were invited to participate.
Rhinology
January 2025
Otorhinolaryngology and Skull Base Center, AP-HP, Hospital Lariboisière, Paris, France.
Background: This study examines the management and outcomes of large paranasal sinus osteomas (PSO), especially those abutting or encasing critical structures of the skull base and orbit.
Methodology: A multicentric retrospective analysis was conducted between June 2007 and September 2023. The study included surgically treated (regardless the type of approach chosen) PSO, exceeding 3 cm in diameter and/or located in critical anatomical areas.
Otolaryngol Pol
January 2025
Department of Pediatric Otolaryngology, Medical University of Warsaw, Poland.
<b>Introduction:</b> Central venous thrombosis (CVT) represents a well-documented complication of acute otitis media (AOM) and acute mastoiditis (AM). Despite widespread antibiotic utilization, which has significantly reduced the incidence of severe AOM/AM complications, recent years have witnessed an increasing frequency of thrombotic complications in pediatric patients, not invariably presenting with classical neurological manifestations.<b>Aim:</b> This study aimed to investigate the potential correlation between COVID-19 infection and increased CVT incidence, while sharing therapeutic experiences, given the absence of standardized treatment protocols for otogenic CVT in pediatric populations.
View Article and Find Full Text PDFCureus
January 2025
Otolaryngology-Head and Neck Surgery, College of Medicine, King Saud University, Riyadh, SAU.
The rapid evolution of generative artificial intelligence (AI) has introduced transformative technologies across various domains, with text-to-video (T2V) generation models emerging as transformative innovations in the field. This narrative review explores the potential of T2V AI generation models used in healthcare, focusing on their applications, challenges, and future directions. Advanced T2V platforms, such as Sora Turbo (OpenAI, Inc.
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