人工智能 大型语言模型 改善患者对放射科医生的理解 磁共振成像报告
Emily Berzolla1, Griffith G Gosnell2, Larry Chen2
1Department of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, New York, U.S.A..
概括
人工智能 (AI) 对磁共振成像 (MRI) 的翻译报告与传统报告相比,显著改善了患者的理解和清晰度. 患者更喜欢人工智能翻译,强调它们在骨科护理中提高患者理解的潜力.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 患者对放射学报告的理解,例如磁共振成像 (MRI),通常是有限的.
- 传统的放射学报告可能无法有效地向患者传达复杂的医疗信息.
研究的目的:
- 评估人工智能 (AI) 翻译MRI报告是否可以提高患者的理解.
- 评估患者对人工智能翻译报告与标准放射学报告的偏好.
主要方法:
- 一项前性随机研究,涉及64名膝盖受伤患者.
- 患者接受了标准的MRI报告或AI翻译版本 (ChatGPT-4).
- 通过测验评估理解能力,然后对两种报告类型进行偏好评分.
主要成果:
- 与标准报告相比,人工智能翻译的报告在理解测试中获得了20%的高分.
- 87.5%的患者更喜欢人工智能翻译的清晰度.
- 患者报告对人工智能翻译 (4.1/5) 与标准报告 (4.5/5) 的信心较低.
结论:
- 人工智能翻译的MRI报告显著提高了患者的理解,并优先考虑清晰度.
- 医生监督对于保持AI生成的医疗信息的准确性和患者信任至关重要.
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