Department of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, Florida, USA.
Department of Otolaryngology-Head and Neck Surgery, University of California Davis Medical Center, Sacramento, California, USA.
Otolaryngol Head Neck Surg. 2024 Oct;171(4):1062-1068. doi: 10.1002/ohn.818. Epub 2024 May 20.
As cancer patients increasingly use chatbots, it is crucial to recognize ChatGPT's potential in enhancing health literacy while ensuring validation to prevent misinformation. This study aims to assess ChatGPT-3.5's capability to provide appropriate staging and treatment recommendations for head and neck mucosal malignancies for vulnerable populations.
Forty distinct clinical vignettes were introduced into ChatGPT to inquire about staging and treatment recommendations for head and neck mucosal malignancies.
Prompts were created based on head and neck cancer (HNC) disease descriptions (cancer location, tumor size, lymph node involvement, and symptoms). Staging and treatment recommendations according to the 2021 National Comprehensive Cancer Network (NCCN) guidelines were scored by three fellowship-trained HNC surgeons from two separate tertiary care institutions. HNC surgeons assessed the accuracy of staging and treatment recommendations, such as the completeness of surgery and the appropriateness of treatment modality.
Whereas ChatGPT's responses were 95% accurate at recommending the correct first-line treatment based on the 2021 NCCN guidelines, 55% of the responses contained inaccurate staging. Neck dissection was incorrectly omitted from treatment recommendations in 50% of the cases. Moreover, 40% of ChatGPT's treatment recommendations were deemed unnecessary.
This study emphasizes ChatGPT's potential in HNC patient education, aligning with NCCN guidelines for mucosal malignancies, but highlights the importance of ongoing refinement and scrutiny due to observed inaccuracies in tumor, nodal, metastasis staging, incomplete surgery options, and inappropriate treatment recommendations. Otolaryngologists can use this information to caution patients, families, and trainees regarding the use of ChatGPT for HNC education without expert guidance.
随着癌症患者越来越多地使用聊天机器人,识别 ChatGPT 在提高健康素养方面的潜力,同时确保验证以防止错误信息至关重要。本研究旨在评估 ChatGPT-3.5 为脆弱人群提供头颈部黏膜恶性肿瘤适当分期和治疗建议的能力。
将 40 个独特的临床病例引入 ChatGPT,以询问头颈部黏膜恶性肿瘤的分期和治疗建议。
根据头颈部癌症(HNC)疾病描述(癌症位置、肿瘤大小、淋巴结受累和症状)创建提示。根据 2021 年国家综合癌症网络(NCCN)指南,由来自两个不同三级医疗机构的三位 fellowship培训的 HNC 外科医生对分期和治疗建议进行评分。HNC 外科医生评估了分期和治疗建议的准确性,例如手术的完整性和治疗方式的适当性。
尽管 ChatGPT 根据 2021 年 NCCN 指南推荐正确的一线治疗的准确率为 95%,但 55%的回答包含不准确的分期。在 50%的情况下,治疗建议中遗漏了颈部清扫术。此外,40%的 ChatGPT 治疗建议被认为是不必要的。
本研究强调了 ChatGPT 在 HNC 患者教育中的潜力,与黏膜恶性肿瘤的 NCCN 指南一致,但强调了由于肿瘤、淋巴结、转移分期、手术选择不完整和不适当的治疗建议存在观察到的不准确之处,需要不断改进和审查。耳鼻喉科医生可以使用这些信息来警告患者、家属和受训者,在没有专家指导的情况下,使用 ChatGPT 进行 HNC 教育。