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人工智能聊天机器人的评估 对骨肉瘤常见患者问题的回答
Kameel Khabaz1, Nicole J Newman-Hung2, Jennifer R Kallini2
1David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Journal of surgical oncology
|October 29, 2024
概括
人工智能 (AI) 聊天机器人在骨肉瘤护理方面表现有前途,但存在局限性. 目前的人工智能工具需要在事实准确性和完整性方面进行改进,以确保安全的临床使用.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 聊天机器人在骨肉瘤患者护理中的临床实用性仍然在很大程度上未被探索.
- 了解人工智能聊天机器人的风险和好处对于定义它们在手术实践中的作用至关重要.
研究的目的:
- 评估人工智能聊天机器人对骨肉瘤的反应的准确性,平衡性,数据基础,完整性和同情性.
- 评估人工智能生成的患者教育材料的可理解性和可操作性.
主要方法:
- 三个人工智能聊天机器人被询问了11个关于骨肉瘤诊断,治疗和恢复的问题.
- 对临床准确度指标的答案以5点的利克特级别进行评分,并对同理心和可读性进行定量评估.
- 患者教育材料评估工具 (PEMAT) 评估了可理解性和可操作性.
主要成果:
- 聊天机器人在相关性 (4.24) 和平衡 (4.09) 中得分很高,但在数据基础 (3.77),完整性 (3.68) 和准确性 (3.66) 中得分较低.
- 可理解性很高 (84.30%),但对治疗 (64.58%) 和恢复 (60.64%) 问题的可操作性有限.
- GPT-4显示出最高的同理心 (4.12),可读性得分表明高中阅读水平.
结论:
- 人工智能聊天机器人展示了骨肉瘤护理的潜力,但在事实准确性和完整性方面面临重大局限性.
- 对健康素养较低的患者可访问性的担忧可能会阻碍当前人工智能工具的临床采用.
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