Latest AI and machine learning research in otolaryngology for healthcare professionals.
PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innovative strategies for improving safety across diverse clinical settings. We address the unique challenges faced when managing airways in neonates, infants, and children with complex conditions. RECENT FINDINGS: The 2024 ESAIC-BJA neonatal and infant a...
OBJECTIVE: ChatGPT has gained popularity for its user-friendly applications in medicine, including otolaryngology. However, concerns have surfaced abo...
The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advancement in modern operative medicine. In endoscopic ...
INTRODUCTION: Accurate and timely documentation during surgical ward rounds is critical for ensuring patient safety, effective multidisciplinary commu...
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older ...
Video laryngoscopy has become an integral part of today's airway management. Despite its advantages, loss of depth perception and increased cognitive ...
OBJECTIVE: Artificial intelligence-supported large language models (LLMs) have become increasingly widespread in recent years in the health communicat...
A powerful tool for communication, emotion, and artistic expression, the human voice plays a vital role in human interaction. However, approximately 2...
Bilateral axillo-breast approach robotic thyroidectomy (BABA RT) is a well-established minimally invasive surgical option; however, shifts in preferen...
Accurately predicting the bioactivity of small molecules against cancer therapeutic targets remains a significant challenge at the intersection of che...
BACKGROUND: Voice disorders caused by vocal fold lesions or mobility disorders are common, but current diagnosis depends on mildly invasive laryngosco...
OBJECTIVE: To characterize non-neural post-thyroidectomy dysphonia (PTD) by analyzing long-term voice outcomes in patients with no evidence of nerve i...
As a critical factor in diagnostic work-up and treatment decision-making process of sleep-related breathing disorders, accurate localization of obstru...
BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...
OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in providing objective, scalable feedback. This study ...
BACKGROUND: At present, the early warning of difficult airway remains fraught with challenges. Previous ultrasonic quantitative parameters have demons...
BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However...
OBJECTIVE: To develop and externally validate a computer-aided diagnosis (CADx) model using artificial intelligence (AI) for classifying laryngeal les...