[对DeepSeek-R1和ChatGPT在晚期胃癌多学科治疗决策中的应用进行比较研究]
1Department of Gastrointestinal Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang 330008,China.
概括
对于高级胃癌治疗建议,包括手术和化疗建议,DeepSeek-R1显示出比ChatGPT-4o更高的准确性和完整性.
科学领域:
- 在瘤学瘤学.
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
背景情况:
- 先进的胃癌治疗需要准确和全面的建议.
- 大型语言模型 (LLM) 显示出有助于临床决策的潜力.
- 在专业医疗领域比较不同LLM的有效性至关重要.
研究的目的:
- 评估和比较DeepSeek-R1和ChatGPT-4o在生成晚期胃癌治疗建议中的准确性和全面性.
- 在各种临床场景中评估LLM绩效,包括关键问题,多学科团队 (MDT) 案例和罕见的PubMed案例.
主要方法:
- 一项比较性研究评估了DeepSeek-R1和ChatGPT-4o,使用基于高级胃癌病例的标准化提示.
- 包括95名患者的MDT病例和14个罕见的PubMed病例.
- 准确性和完整性评估使用4点利克尔特级别,具有高的评分间可靠性 (W值从0.632到0.696,P<0.001).
主要成果:
- 与ChatGPT-4o相比,DeepSeek-R1在所有评估的案例类型的准确性和完整性方面表现优越.
- DeepSeek-R1在提供手术选择,化疗建议和特定化疗方案的建议方面表现出了特别的优势.
- 评级者之间的高可靠性证实了不同评级者之间的评估的客观性.
结论:
- 在生成晚期胃癌治疗建议方面,DeepSeek-R1表现略高于ChatGPT-4o.
- 像DeepSeek-R1这样的LLM有望在复杂的治疗计划中支持瘤学家.
- 需要进一步的研究来探索AI在个性化胃癌治疗中的全部潜力.
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