AI Medical Compendium Journal:
International journal of pediatric otorhinolaryngology

Showing 1 to 7 of 7 articles

Comparative analysis of GPT-4 and Google Gemini's consistency with pediatric otolaryngology guidelines.

International journal of pediatric otorhinolaryngology
OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting pediatric otolaryngology guidelines.

Deep learning algorithm classification of tympanostomy tube images from a heterogenous pediatric population.

International journal of pediatric otorhinolaryngology
IMPORTANCE: The ability to augment routine post-operative tube check appointments with at-home digital otoscopes and deep learning AI could improve health care access as well as reduce financial and time burden on families.

Navigating ChatGPT's alignment with expert consensus on pediatric OSA management.

International journal of pediatric otorhinolaryngology
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...

Can a flexible surgical robot be used in the pediatric population: A feasibility study.

International journal of pediatric otorhinolaryngology
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...

Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network.

International journal of pediatric otorhinolaryngology
OBJECTIVES: Design and validate a novel handheld device for the autonomous diagnosis of pediatric vascular anomalies using a convolutional neural network (CNN).

Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.

International journal of pediatric otorhinolaryngology
BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in enhancing diagnostics, treatment planning, and patient management. However, their application in pediatric otolaryngology remains limited as the uniqu...