通过大型语言模型推进PRRT患者教育:挑战和潜在的挑战
Tilman Speicher1, Moritz B Bastian1, Arne Blickle1
1Department of Nuclear Medicine, Saarland University Hospital Homburg, Germany.
American journal of nuclear medicine and molecular imaging
|September 22, 2025
概括
像ChatGPT 4o和DeepSeek V3这样的人工智能 (AI) 聊天机器人显示出对受体放射性核酸治疗 (PRRT) 患者教育的希望. 虽然准确和可读,但由于偶尔出现医疗不准确,医生监督至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 瘤学患者教育 瘤学患者教育
背景情况:
- 人工智能聊天机器人越来越多地用于患者教育.
- 需要评估AI聊天机器人的性能,以提供复杂的医疗信息.
- 专注于准确性,可读性和简洁性,以便患者理解.
研究的目的:
- 评估ChatGPT 4o和DeepSeek V3对于受体放射性核素治疗 (PRRT) 患者询问的性能.
- 将AI聊天机器人的准确性,可读性和简洁性进行比较.
- 在人工智能生成的患者教育内容中识别潜在的医学不准确性.
主要方法:
- 提交了12个常见的PRRT问题给ChatGPT 4o和DeepSeek V3.
- 9名专业人士通过盲目调查评估了答案 (准确性,简洁性,可读性).
- 使用曼 - 惠特尼U和千平方测试进行统计分析.
主要成果:
- 在准确度 (ChatGPT 4o: 4.43,DeepSeek V3: 4.56) 或可读性 (ChatGPT 4o: 4.38,DeepSeek V3: 4.25) 上没有显著差异.
- 聊天GPT 4o响应显著更简洁 (4.55对4.24;P=0.0013).
- 7-8%的回答包含医学不准确性,模型之间没有显著差异.
结论:
- 这两种AI聊天机器人都在PRRT患者教育方面表现出强的表现.
- 聊天GPT 4o在它的回复中提供了卓越的简洁.
- 医疗不准确性需要医生监督人工智能驱动的患者教育.
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