患者教育的未来方向:为脊柱创伤患者利用人工智能
Anthony D Belmonte1, Hannah Harris1, Shachi Srivatsa2
1Department of Orthopaedics.
Clinical spine surgery
|December 31, 2025
概括
人工智能 (AI) 在教育患者关于脊髓损伤 (SCIs) 方面表现有前途. 不同的人工智能模型在信息质量上有所不同,其中Perplexity AI和Bing AI显示了SCI患者教育的优势.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 人工智能 (AI) 的进步正在改变患者教育,特别是在创伤受伤方面.
- 脊柱创伤显著影响患者的生活,引发了人们对症状,治疗和恢复的担忧.
研究的目的:
- 评估人工智能在传播脊髓损伤 (SCI) 信息方面的有效性.
- 评估AI在回答与SCIs及其并发症相关的常见问题方面的作用.
主要方法:
- 一项描述性研究使用了四种AI模型:ChatGPT,Bing AI,Google SGE和Perplexity AI.
- 对AI模型提出了常见的脊柱创伤问题.
- 用DISCERN仪器对信息质量和使用索引对可读性进行了评估.
主要成果:
- 在AI模型中观察到信息质量的显著变化.
- 困惑的人工智能和Bing的人工智能在SCI信息中表现出更高的可靠性和质量.
- 人工智能模型的性能因训练数据和推理方法的差异而有所不同.
结论:
- 人工智能在提高脊髓损伤患者的患者教育方面发挥着至关重要的作用.
- 医疗保健提供者在使用人工智能进行患者教育时应采取细微的方法,考虑模型特定的优点和局限性.
- 未来的研究应该关注人工智能在各种疾病患者教育中的临床准确性,相关性和资源影响.
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