在眼科人工智能生命周期中揭露偏见和导航陷:叙事审查
Luis Filipe Nakayama1,2, João Matos2,3,4, Justin Quion2
1Department of Ophthalmology, Sao Paulo Federal University, Sao Paulo, Sao Paulo, Brazil.
PLOS digital health
|October 8, 2024
概括
人工智能 (AI) 在眼科领域具有巨大的潜力,但对其生命周期的谨慎导航至关重要. 本综述详细介绍了人工智能开发阶段和缓解策略,以防止伤害并确保安全部署.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 在过去的20年里,数据可用性,计算能力和人工智能建模技术取得了重大进展.
- 眼科准备从人工智能中受益,特别是随着远程医疗和先进成像技术的兴起.
- 广泛的AI部署需要在整个AI生命周期中解决潜在的陷.
研究的目的:
- 在眼科的背景下,系统地审查人工智能 (AI) 生命周期.
- 在AI生命周期的每个阶段识别危害风险.
- 提出减轻这些风险的策略,并确保安全的AI实施.
主要方法:
- 该审查将人工智能生命周期分解为七个不同的阶段:数据收集,任务定义,数据预处理和标签,模型开发,评估和验证,部署和部署后监控.
- 每个阶段都分析了潜在的风险和相关的缓解策略.
主要成果:
- 在每一个AI生命周期的七个阶段中确定了特定的风险.
- 概述了减轻发现风险的实际策略,确保负责任的AI开发和部署.
- 强调了AI在临床环境中实施结构化方法的重要性.
结论:
- 解决人工智能生命周期风险对于人工智能在眼科成功和道德整合至关重要.
- 积极的风险减轻策略对于在医疗保健中安全有效地部署AI至关重要.
- 需要进一步的研究和合作,以完善AI开发和验证过程,用于临床应用.
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