Latest AI and machine learning research in otolaryngology for healthcare professionals.
OBJECTIVES: This study aimed to compare the diagnostic accuracy and citation integrity of four large language models (LLMs) including one general (ChatGPT-4) and three intended for clinical and research use (OpenEvidence, Perplexity, and Pathway), using standardized otolaryngology clinical vignettes. METHODS: One hundred validated otolaryngology clinical vignettes were presented to each LLM with a...
OBJECTIVE: Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with "multimodal" AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology. DATA SOURCES: The MEDLINE, EMBASE, SCOPUS, Cochrane Library,...
Transient hypocalcemia is a common complication of total thyroidectomy. This study aimed to evaluate whether machine learning (ML)-based models could ...
BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains...
PurposeTo quantify how large language model (LLM) assistance influences otolaryngology residents' operative planning in a simulation-based setting.Met...
In this study, we present an innovative approach in medicine, leveraging the potential of artificial intelligence (AI) for the diagnosis of tympanic m...
CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, an...
PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innov...
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...