评估人工智能对常见的整形手术问题的反应
Libby R Copeland-Halperin1, Lauren O'Brien2, Michelle Copeland3
1From Northwell Health, New York, N.Y.
Plastic and reconstructive surgery. Global open
|September 1, 2023
概括
像Bing和ChatGPT这样的人工智能 (AI) 工具为整形手术查询提供了准确的信息,但在细微的问题上遇到了困难. 需要进一步开发可靠的AI在医疗应用中.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 整形外科研究 整形外科研究
背景情况:
- 人工智能 (AI) 越来越多地用于信息检索,但它的准确性和有效性在像整形手术这样的专业领域仍然不确定.
- 与传统的互联网搜索不同,人工智能工具以最终总结的方式呈现信息,需要仔细评估其输出,因为在线不准确性普遍存在,医疗指南不断变化.
研究的目的:
- 评估Bing和ChatGPT对整形外科相关问题的AI生成答案的准确性和稳定性.
- 将人工智能生成的答案与来自权威来源的信息进行比较,例如食品和药物管理局 (FDA) 和美国塑料外科医生协会 (ASPS).
主要方法:
- 对Bing和ChatGPT提出了10个关于乳房植入物相关的疾病,形大细胞淋巴瘤和状癌的问题.
- 从一项整形外科在职考试中,对两个AI工具进行了十个多项选择题.
- 两个整形外科医生对答案的准确性和一致性进行了评估,参考了FDA和ASPS网站,并在三周内重复了问题.
主要成果:
- 宾和ChatGPT都提供了来自FDA和ASPS的准确信息.
- 在30个多项选择题中,ChatGPT正确回答了16个,而Bing正确回答了10个.
- 宾的回复不那么详细,并引用了经过验证和未经验证的来源,而ChatGPT没有提供引用.
结论:
- 虽然人工智能工具可以从信誉好的来源获取和传递准确的信息,但它们不能始终处理复杂,细微的医疗决策问题.
- 未来用于整形外科人工智能的进展需要能够批判性评估和过信息以提高准确性,精度和可靠性的算法.
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