在眼科医疗保健中的监管生成人工智能:安全和隐私视角
Yueye Wang1, Chi Liu2, Keyao Zhou3,4
1Sun Yat-sen University Zhongshan Ophthalmic Center State Key Laboratory of Ophthalmology, Guangzhou, Guangdong, China.
The British journal of ophthalmology
|June 4, 2024
概括
医疗保健中的生成人工智能 (AI) 存在安全和隐私风险. 解决这些问题需要强有力的治理,透明度和安全实施的临床验证.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人工智能的人工智能是人工智能.
- 眼科医生 眼科 眼科
背景情况:
- 将生成性人工智能 (AI) 整合到医疗保健中,引发了严重的安全和隐私问题.
- 了解这些风险对于在医疗领域负责任地采用人工智能至关重要.
研究的目的:
- 探索与医疗保健,特别是眼科领域的生成人工智能相关的安全和隐私风险.
- 识别模型级和数据级风险及其潜在后果.
- 提出与人工智能和医疗保健法规一致的治理驱动的解决方案.
主要方法:
- 分析模型层面的风险 (知识泄露,AI特定攻击).
- 检查数据层面的风险 (未经授权的收集,准确性).
- 眼科中的病例研究的综述.
主要成果:
- 确定了模型级风险:知识泄露和AI攻击下的安全性.
- 确定了数据层面的风险:未经授权的数据收集和准确性问题.
- 突出了严重的后果,包括数据泄露,隐私侵犯和患者安全威胁.
结论:
- 医疗保健中的生成人工智能需要强有力的治理,透明度和临床验证.
- 眼科医生和医疗保健提供者在减轻风险方面发挥着关键作用.
- 及时引入全面的法规对于安全的AI实施至关重要.
关键词:
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