Introduction: As artificial intelligence systems like large language models (LLM) and natural language processing advance, the need to evaluate their utility within medicine and medical education grows. As medical research publications continue to grow exponentially, AI systems offer valuable opportunities to condense and synthesize information, especially in underrepresented areas such as Sleep Medicine. The present study aims to compare summarization capacity between LLM generated summaries of sleep medicine research article abstracts, to summaries generated by Medical Student (humans) and to evaluate if the research content, and literary readability summarized is retained comparably.
View Article and Find Full Text PDFIntroduction: Direct laryngoscopy and biopsy is the gold standard for obtaining a tissue diagnosis in patients with suspected laryngeal cancer. In patients with advanced disease or other medical comorbidities, this may come with significant anaesthetic risks, including tracheostomy. Ultrasonography-guided biopsy has been widely used in the diagnosis of malignancy involving cervical lymph nodes but it is not commonly employed in the diagnosis of laryngeal tumours.
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