Purpose: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and second line hypoglossal nerve stimulation (HGNS) therapy.
Methods: Seventeen questions, each regarding PAP and HGNS therapy, were posed to ChatGPT-4o.
Purpose: The gold standard in obstructive sleep apnea (OSA) diagnostics is nocturnal full-night polysomnography (PSG). Due to high costs and high time effort portable respiratory polygraphy (PG or home sleep apnea testing-HSAT) has been developed. In contrast to PG the PSG gains relevant further information concerning sleep stages, arousals and leg movements.
View Article and Find Full Text PDFBackground: From a healthcare professional's perspective, the use of ChatGPT (Open AI), a large language model (LLM), offers huge potential as a practical and economic digital assistant. However, ChatGPT has not yet been evaluated for the interpretation of polysomnographic results in patients with suspected obstructive sleep apnea (OSA).
Aims/objectives: To evaluate the agreement of polysomnographic result interpretation between ChatGPT-4o and a board-certified sleep physician and to shed light into the role of ChatGPT-4o in the field of medical decision-making in sleep medicine.
Respir Med
October 2024
JAMA Otolaryngol Head Neck Surg
August 2024
Importance: Clinicians should understand how patients who were treated with laryngeal cancer surgery think about this later on and what factors may be related with regretting surgery.
Objective: To assess variables associated with a positive attitude toward laryngeal cancer surgery.
Design, Setting, And Participants: This combination of 2 cohorts, based on patient interviews and questionnaires, was studied in 16 hospitals in Germany.