PDF(Pubmed)
Abstract：
ChatGPT is an advanced language model developed by OpenAI, designed for natural language understanding and generation. It employs deep learning technology to comprehend and generate human-like text, making it versatile for various applications. The aim of this study is to assess the alignment between the Rhinology Board\'s indications and ChatGPT\'s recommendations for treating patients with chronic rhinosinusitis with nasal polyps (CRSwNP) using biologic therapy. An observational cohort study involving 72 patients was conducted to evaluate various parameters of type 2 inflammation and assess the concordance in therapy choices between ChatGPT and the Rhinology Board. The observed results highlight the potential of Chat-GPT in guiding optimal biological therapy selection, with a concordance percentage = 68% and a Kappa coefficient = 0.69 (CI95% [0.50; 0.75]). In particular, the concordance was, respectively, 79.6% for dupilumab, 20% for mepolizumab, and 0% for omalizumab. This research represents a significant advancement in managing CRSwNP, addressing a condition lacking robust biomarkers. It provides valuable insights into the potential of AI, specifically ChatGPT, to assist otolaryngologists in determining the optimal biological therapy for personalized patient care. Our results demonstrate the need to implement the use of this tool to effectively aid clinicians.
摘要：
ChatGPT是OpenAI开发的高级语言模型，专为自然语言理解和生成而设计。它采用深度学习技术来理解和生成类似人类的文本，使其通用的各种应用。这项研究的目的是评估鼻科委员会的适应症与ChatGPT的建议之间的一致性，以使用生物疗法治疗慢性鼻-鼻窦炎伴鼻息肉（CRSwNP）患者。进行了一项涉及72例患者的观察性队列研究，以评估2型炎症的各种参数，并评估ChatGPT与鼻科委员会之间治疗选择的一致性。观察到的结果突出了Chat-GPT在指导最佳生物治疗选择方面的潜力，一致性百分比=68%，Kappa系数=0.69(CI95%[0.50；0.75])。特别是,一致性是，分别,dupilumab占79.6%，美泊利单抗20%，奥马珠单抗为0%。这项研究代表了管理CRSwNP的重大进展，解决缺乏强大的生物标志物的情况。它提供了对人工智能潜力的宝贵见解，特别是ChatGPT,协助耳鼻喉科医师确定个性化患者护理的最佳生物疗法。我们的结果表明需要实施该工具以有效地帮助临床医生。
