ClinValAI:一个开发基于云的基础设施的框架,用于医疗成像中AI的外部临床验证
Ojas A Ramwala1, Kathryn P Lowry2, Daniel S Hippe3
1Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, 98195, USA.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 13, 2024
概括
ClinValAI是一个新的云框架,用于验证医疗成像中的人工智能 (AI). 它确保AI模型在临床使用之前可靠且公正,促进健康公平.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 临床医学 临床医学
背景情况:
- 人工智能 (AI) 算法在临床医学中提供了变革性的潜力,特别是在医学成像中.
- 在临床整合之前,严格的外部验证对于AI的概括性和偏差检测至关重要.
- 现有的障碍包括患者隐私,知识产权和各种模型要求.
研究的目的:
- 引入ClinValAI,这是一个基于云计算的基础设施框架,用于医学成像中AI的临床验证.
- 为评估AI模型和调查偏见提供一种可定制的方法.
- 解决人工智能验证的挑战,包括隐私和模型多样性.
主要方法:
- 开发了ClinValAI,用于数据摄入,算法得分和输出处理的专用工作流.
- 实施了一种新的编排机制,以实现最佳的云计算利用.
- 包括输入审计和标准化为一致的模型先决条件.
- 设计得分和输出处理工作流程,用于系统的故障排除和分析.
主要成果:
- 在大型乳腺造影数据集上验证乳腺癌风险预测算法,证明了ClinValAI的可用性.
- 进行统计分析,以评估模型校准和性能,包括乳腺密度,年龄和种族等因素.
- 通过全面分析,识别了人工智能模型中的潜在偏见.
结论:
- ClinValAI提供了一个全面的框架,用于验证医学成像AI模型.
- 该框架有可能在临床医学中推进可通用的人工智能开发.
- 通过确保公正的AI工具,ClinValAI可以促进健康公平.
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