Publications by authors named "K Bahr-Hamm"
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.
Background: 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.
Real-world data on polysomnography- and patient-reported outcomes in hypoglossal nerve stimulation and auto-titrating positive airway pressure therapy for obstructive sleep apnea.
Respir Med
October 2024
Article Synopsis
- This study compares the effectiveness of first-line auto-adjusting positive airway pressure (aPAP) therapy and second-line hypoglossal nerve stimulation (HGNS) therapy for treating obstructive sleep apnea (OSA) in patients who meet specific criteria.
- Both therapies were analyzed based on pre- and post-treatment data, showing that after treatment, aPAP significantly reduced the apnea-hypopnea index (AHI) compared to HGNS, which had a higher AHI post-treatment.
- Despite the higher AHI in the HGNS group, patients reported feeling less sleepy after treatment than those using aPAP, suggesting that HGNS may improve subjective sleepiness even if it doesn't reduce apnea events as much.
Background: Large Language Models (LLMs) might offer a solution for the lack of trained health personnel, particularly in low- and middle-income countries. However, their strengths and weaknesses remain unclear.
Aims/objectives: Here we benchmark different LLMs (Bard 2023.
Purpose: Cochlear implantation is a standard approach to hearing rehabilitation and encompasses three main stages: appropriate patient selection, a challenging surgical procedure, which should be as atraumatic as possible and preserve cochlear structures, and lifelong postoperative follow-up. Computed tomography (CT) is performed to assess postoperative implant position. The Siemens Advanced Radar Target Identification System (ARTIS) Pheno provides fluoroscopic imaging during surgery and has so far been mainly used by cardiologists, neurosurgeons and trauma surgeons.
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