医学成像人工智能的偏见:基础,检测,避免,缓解,挑战,伦理和前景
Burak Koçak1, Andrea Ponsiglione2, Arnaldo Stanzione2
1University of Health Sciences, Başakşehir Çam and Sakura City Hospital, Clinic of Radiology, İstanbul, Türkiye.
概括
医疗成像中的人工智能 (AI) 提供了好处,但也有风险. 解决人工智能偏见对于安全有效的临床应用至关重要,确保患者的治疗结果不会受到损害.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 临床应用 临床应用
背景情况:
- 人工智能 (AI) 显示出对医学成像预测任务的承诺.
- 由于固有的偏见,人工智能在医学中的整合是一个双刃剑.
- 人工智能系统可以内化偏见,可能导致意外的临床后果.
研究的目的:
- 提高医学成像社区对人工智能偏见的认识.
- 积极识别和解决AI偏见,以防止负面影响.
- 促进开发不那么偏见和广泛适用的AI解决方案.
主要方法:
- 对人工智能的偏见定义和潜在来源的审查.
- 检测和识别人工智能偏见的策略概述.
- 讨论用于避免和减轻人工智能偏见的技术.
主要成果:
- 人工智能偏见可以源于整个人工智能管道中的各种来源.
- 主动识别和缓解策略是必不可少的.
- 研究了人工智能偏见的伦理维度和挑战.
结论:
- 对人工智能偏见的全面理解对于医学成像至关重要.
- 解决偏见对于确保AI安全有效的临床实施至关重要.
- 需要继续进行研究和提高认识,以防止患者出现不良后果.
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