干预放射学人工智能入门指南:第二部分:实施考虑和危害
Blair Edward Warren1,2, Alexander Bilbily1,3,4, Judy Wawira Gichoya5
1Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
干预放射学 (IR) 中的人工智能 (AI) 提出了新的挑战和机遇. 基于风险的严格评估和部署检查清单对于安全整合AI医疗设备至关重要.
科学领域:
- 医学成像和干预性放射学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在干预放射学 (IR) 中的整合正在迅速推进.
- 在IR中的人工智能应用包括软件作为医疗设备和AI集成硬件.
- 采用人工智能需要仔细考虑患者和临床医生的潜在风险和益处.
研究的目的:
- 概述人工智能在干预放射学中带来的挑战和机遇.
- 描述基于风险的AI医疗设备评估框架.
- 为AI在IR的临床部署提供实际指导.
主要方法:
- 在IR中审查当前的AI应用.
- 开发基于风险的AI实施层次结构.
- 为临床IR环境创建部署检查清单.
主要成果:
- 在IR中的AI提供了显著的机遇,但需要仔细管理风险.
- 提出了一个风险等级,以指导AI医疗器械的评估.
- 提供了一个实用的检查清单,以促进在临床环境中安全部署AI.
结论:
- 人工智能在IR中的整合需要采取积极主动和风险意识的方法.
- 人工智能的持续发展需要适应性的监管和评估策略.
- 在IR的AI生命周期中,确保患者安全至关重要.
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