聊天GPT-4o与瘤学家在处理子宫内膜癌患者询问时:初级和中级护理中的前性比较研究
Serra Akar İnan1, Muhammed İnan2, Osman Türkmen3
1Health Sciences University, Ankara Bilkent City Hospital, Division of Gynecologic Oncology, Ankara, Türkiye.
概括
在子宫内膜癌问题的准确性,同情心和完整性方面,ChatGPT-4o显著超过了妇科瘤学家. 虽然人工智能反应更全面,但它们的长度可能对患者在癌症护理中的理解构成挑战.
科学领域:
- 在瘤学瘤学.
- 医疗保健中的人工智能
- 医学教育 医学教育
背景情况:
- 对子宫内膜癌患者的教育需要准确,富有同情心和完整的信息.
- 评估高级AI语言模型在专业医疗领域的性能至关重要.
- 了解AI在癌症信息传递的初级与二级护理环境中的潜在作用.
研究的目的:
- 为了比较ChatGPT-4o与妇科瘤学家在回答子宫内膜癌问题的表现.
- 在初级和中级护理环境中评估AI响应的准确性,同理心和完整性.
- 探索人工智能在支持瘤学患者教育和沟通方面的影响.
主要方法:
- 使用了100个经过验证的子宫内膜癌症问题,在初级和二级护理场景中均分.
- 聊天GPT-4o和一个妇科瘤学家回答了所有的问题.
- 独立的瘤学家对答案的准确性,同理心和完整性进行了评估,并对可读性和字数分析进行了评估.
主要成果:
- 与瘤学家相比,ChatGPT-4o在准确性 (p < 0.001),同情力 (p < 0.001) 和完整性 (p < 0.001) 方面表现出了统计学上显著的优势.
- 人工智能生成的答案要长得多 (403.51字对25.06字).
- 可读性分析显示,人工智能和医生的反应都存在类似的理解挑战,需要高患者素养.
结论:
- 聊天GPT-4o提供了对子宫内膜癌查询的增强准确性,同情心和完整性,而不是人类专家.
- 人工智能反应的延长长度需要仔细考虑,以避免患者信息过载.
- 人工智能工具在支持瘤护士的患者教育和沟通方面表现有前途,改善子宫内膜癌管理中的支持性护理.
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