提高患者对使用ChatGPT治疗淋巴细胞疾病的理解
Yasir H Abdelgadir1, Charat Thongprayoon1, Iasmina M Craici1
1Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Healthcare (Basel, Switzerland)
|January 10, 2025
概括
聊天GPT可以简化复杂的质瘤疾病治疗患者,提高理解. 然而,简化的解释可能会牺牲一些准确性,需要进一步的研究以确保安全的临床使用.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗保健中的人工智能
- 医学教育 医学教育
背景情况:
- 患者对淋巴细胞疾病治疗方法的理解是一个重大挑战.
- 了解治疗机制和副作用对于明智的患者决策至关重要.
- 简化复杂的医疗信息对于有效的患者教育至关重要.
研究的目的:
- 评估ChatGPT (GPT-4) 在简化淋巴细胞疾病治疗选择方面的能力.
- 评估人工智能生成的解释对患者理解和可读性的影响.
- 为了比较简化和一般解释的准确性和全面性.
主要方法:
- 在一般和八年级的阅读水平上,GPT-4为67种球体乱产生了解释.
- 使用Flesch-Kincaid等级 (FKG) 和SMOG指数以及Flesch阅读易度 (FRE) 评估可读性.
- 使用可打印材料的患者教育材料评估工具 (PEMAT-P) 评估可理解性;在1-5级别上评价准确性.
主要成果:
- 与一般解释 (12.85 FKG, 60.7% PEMAT-P) 相比,量身定制的解释显著提高了可读性 (8.44 FKG) 和可理解性 (76.8% PEMAT-P).
- 与一般解释 (4.56 / 5) 相比,简化解释显示了统计学上显著的精度下降 (3.99 / 5).
- 由人工智能驱动的简化增强了面向患者的材料指标,但降低了内容精度.
结论:
- 聊天GPT显示了改善患者对质瘤疾病治疗的理解的潜力.
- 在简化可读性和解释准确性之间存在一个权衡.
- 需要进一步的研究来优化人工智能性能,评估现实世界的有效性,并确保在患者护理中的伦理应用.
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