Sireci Federico, Lorusso Francesco, Immordino Angelo, Centineo Manuela, Gerardi Ignazio, Patti Gaetano, Rusignuolo Simona, Manzella Riccardo, Gallina Salvatore, Dispenza Francesco
Otorhinolaryngology Section, Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Via del Vespro 129, 133, 90127 Palermo, Italy.
Otorhinolaryngology Section, Biomedicine, Neuroscience and Advanced Diagnosics Department (BiND), University of Palermo, Via del Vespro 129, 133, 90127 Palermo, Italy.
J Pers Med. 2024 May 24;14(6):563. doi: 10.3390/jpm14060563.
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.
ChatGPT是OpenAI开发的一种先进语言模型,旨在实现自然语言理解和生成。它采用深度学习技术来理解和生成类人文本,使其在各种应用中具有通用性。本研究的目的是评估鼻科学委员会的适应症与ChatGPT关于使用生物疗法治疗鼻息肉慢性鼻窦炎(CRSwNP)患者的建议之间的一致性。进行了一项涉及72名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与鼻科学委员会在治疗选择上的一致性。观察结果突出了Chat-GPT在指导最佳生物疗法选择方面的潜力,一致性百分比 = 68%,卡帕系数 = 0.69(CI95% [0.50; 0.75])。具体而言,度普利尤单抗的一致性为79.6%,美泊利单抗为20%,奥马珠单抗为0%。这项研究代表了在管理CRSwNP方面的一项重大进展,解决了一种缺乏强大生物标志物的疾病。它为人工智能,特别是ChatGPT,在协助耳鼻喉科医生确定个性化患者护理的最佳生物疗法方面的潜力提供了有价值的见解。我们的结果表明需要实施使用该工具以有效帮助临床医生。