PDF(Pubmed)
Abstract：
BACKGROUND: ChatGPT, created by OpenAI, is a large language model which has become the fastest growing consumer application in history, recognized for its expansive knowledge of varied subjects. The field of oncology is highly specialized and requires nuanced understanding of medications and conditions. Herein, we sought to better qualify the ability of ChatGPT to name applicable treatments for patients with advanced solid cancers.
METHODS: This observational study was conducted utilizing ChatGPT. The capacity of ChatGPT to tabulate appropriate systemic therapies for new diagnoses of advanced solid malignancies was ascertained through standardized prompts. A ratio of those medications listed by ChatGPT to those suggested in the National Comprehensive Cancer Network (NCCN) guidelines was produced and called the valid therapy quotient (VTQ). Additional descriptive analyses of the VTQ and its association with incidence and type of treatment were performed.
RESULTS: Some 51 distinct diagnoses were utilized within this experiment. ChatGPT was able to identify 91 distinct medications in response to prompts related to advanced solid tumors. The overall VTQ is 0.77. In all cases, ChatGPT was able to provide at least one example of systemic therapy suggested by the NCCN. There was a weak association between incidence of each malignancy and the VTQ.
CONCLUSIONS: The capacity of ChatGPT to identify medications used to treat advanced solid tumors indicates a level of concordance with the NCCN guidelines. As it stands, the role of ChatGPT to assist oncologists and patients in treatment decision making remains unknown. Nonetheless, in future iterations, it may be anticipated that accuracy and consistency in this domain will improve, and further studies will be needed to better quantify its capabilities.
METHODS: This observational study was conducted utilizing ChatGPT. The capacity of ChatGPT to tabulate appropriate systemic therapies for new diagnoses of advanced solid malignancies was ascertained through standardized prompts. A ratio of those medications listed by ChatGPT to those suggested in the National Comprehensive Cancer Network (NCCN) guidelines was produced and called the valid therapy quotient (VTQ). Additional descriptive analyses of the VTQ and its association with incidence and type of treatment were performed.
RESULTS: Some 51 distinct diagnoses were utilized within this experiment. ChatGPT was able to identify 91 distinct medications in response to prompts related to advanced solid tumors. The overall VTQ is 0.77. In all cases, ChatGPT was able to provide at least one example of systemic therapy suggested by the NCCN. There was a weak association between incidence of each malignancy and the VTQ.
CONCLUSIONS: The capacity of ChatGPT to identify medications used to treat advanced solid tumors indicates a level of concordance with the NCCN guidelines. As it stands, the role of ChatGPT to assist oncologists and patients in treatment decision making remains unknown. Nonetheless, in future iterations, it may be anticipated that accuracy and consistency in this domain will improve, and further studies will be needed to better quantify its capabilities.
摘要：
背景：ChatGPT，由OpenAI创建，是一种大型语言模型，已成为历史上增长最快的消费者应用程序，因其对不同学科的广泛知识而被认可。肿瘤学领域是高度专业化的，需要对药物和条件的细致入微的理解。在这里，我们试图更好地鉴定ChatGPT对晚期实体癌患者的适用治疗方法的命名能力.
方法：本观察性研究使用ChatGPT进行。通过标准化提示，确定了ChatGPT为晚期实体恶性肿瘤的新诊断制定适当的全身疗法的能力。产生了ChatGPT列出的那些药物与国家综合癌症网络（NCCN）指南中建议的那些药物的比率，并称为有效治疗商（VTQ）。对VTQ及其与发病率和治疗类型的相关性进行了其他描述性分析。
结果：在本实验中使用了约51种不同的诊断。ChatGPT能够识别91种不同的药物，以响应与晚期实体瘤相关的提示。总体VTQ为0.77。在所有情况下,ChatGPT能够提供NCCN建议的全身治疗的至少一个实例。每种恶性肿瘤的发生率与VTQ之间存在弱关联。
结论：ChatGPT确定用于治疗晚期实体瘤的药物的能力表明与NCCN指南的一致性水平。就目前而言，ChatGPT在帮助肿瘤学家和患者制定治疗决策方面的作用尚不清楚.尽管如此，在未来的迭代中，可以预期，该领域的准确性和一致性将会提高，需要进一步的研究来更好地量化其能力。
方法：本观察性研究使用ChatGPT进行。通过标准化提示，确定了ChatGPT为晚期实体恶性肿瘤的新诊断制定适当的全身疗法的能力。产生了ChatGPT列出的那些药物与国家综合癌症网络（NCCN）指南中建议的那些药物的比率，并称为有效治疗商（VTQ）。对VTQ及其与发病率和治疗类型的相关性进行了其他描述性分析。
结果：在本实验中使用了约51种不同的诊断。ChatGPT能够识别91种不同的药物，以响应与晚期实体瘤相关的提示。总体VTQ为0.77。在所有情况下,ChatGPT能够提供NCCN建议的全身治疗的至少一个实例。每种恶性肿瘤的发生率与VTQ之间存在弱关联。
结论：ChatGPT确定用于治疗晚期实体瘤的药物的能力表明与NCCN指南的一致性水平。就目前而言，ChatGPT在帮助肿瘤学家和患者制定治疗决策方面的作用尚不清楚.尽管如此，在未来的迭代中，可以预期，该领域的准确性和一致性将会提高，需要进一步的研究来更好地量化其能力。
