医学诊断中的AI:AI预测和人类判断
Dóra Göndöcs1, Viktor Dörfler2
1Széchenyi István University, Hungary.
Artificial intelligence in medicine
|March 10, 2024
概括
人工智能 (AI) 可以支持医学诊断,但不应该取代人类决策者. 皮肤科医生希望人工智能能增强,而不是取代他们的临床判断,专注于互动,责任和可解释性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 越来越被视为在知识工作中增强人类能力的工具,包括医学决策.
- 然而,将人工智能集成到临床实践中需要了解决策中涉及的人类因素,这些因素超出了算法分析的范围.
- 创造力,直觉,情绪和价值判断等因素是诊断中的关键人类要素.
研究的目的:
- 探索皮肤科医生对医学诊断中人工智能应用的期望.
- 确定影响AI在临床环境中的采用和有益使用的关键维度.
- 为开发人工智能工具提供信息,有效支持,而不是取代医疗专业人员.
主要方法:
- 与17名皮肤科医生进行了半结构化,开放式的研究采访.
- 利用定性研究方法,深入了解用户的期望和感知.
- 分析了采访数据,以确定皮肤科医生对人工智能的思考的总体维度.
主要成果:
- 确定了四个关键维度:与AI的互动,责任,可解释性,以及人工智能协作所需的思维转变.
- 皮肤科医生认为人工智能是一种支持性资产,强调需要人工智能来补充人类的专业知识.
- 研究结果强调了以用户为中心的AI设计在医学诊断中的重要性.
结论:
- 人工智能可以成为一个有价值的工具来支持医生进行医学诊断,但它不应该取代人类决策者.
- 了解皮肤科医生对人工智能交互,责任和可解释性的期望对于成功实施至关重要.
- 这些发现为医生和AI供应商提供了指导,以促进AI在诊断过程中的有益整合.
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