生成型人工智能的最新发展以及眼科中的应用
Xiaoru Feng1, Kezheng Xu2, Ming-Jie Luo2
1School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China; Institute for Hospital Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
|August 11, 2024
概括
生成型人工智能 (AI) 通过提高临床实践和研究的效率和创新,为眼科医学的进步提供了巨大的潜力. 本综述探讨了人工智能集成,风险,并提出了一个框架,为其在眼科保健中的平衡采用.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 生成型人工智能 (AI) 正在迅速改变包括医学在内的各种领域.
- 眼科将从人工智能在数据处理,文档,患者沟通和临床决策支持方面的能力中受益.
研究的目的:
- 审查生成性AI模型在眼科的临床工作流程和研究中的开发和整合.
- 确定对标准化评估框架的需求,强有力的证据,以及对人工智能的多模式潜力的探索.
- 解决与眼科人工智能相关的风险,并提出风险管理框架.
主要方法:
- 文献综述专注于眼科中生成性AI应用.
- 分析AI的潜在好处,包括提高效率,准确性,个性化和创新.
- 检查风险,如数据隐私,偏见,适应挑战和工作流离失所等.
主要成果:
- 生成型人工智能可以简化文档,改善患者与医生的沟通,帮助决策,并模拟眼科临床试验.
- 存在对标准化评估框架和探索多式联络人工智能能力的需求.
- 确定的风险包括数据隐私,偏见,适应摩擦,过度依赖和工作替代.
结论:
- 生成型人工智能具有改造潜力,可以提高眼科患者护理和运营效率.
- 对人工智能采用的平衡方法至关重要,并得到了强大的风险管理框架的支持.
- 需要进一步的研究和开发,才能充分实现AI的好处,同时减轻其在眼科护理中的风险.
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