在眼科中生成人工智能
Ethan Waisberg1, Joshua Ong2, Sharif Amit Kamran3
1Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Survey of ophthalmology
|May 18, 2024
概括
生成型人工智能 (AI),特别是生成型对抗性网络 (GAN),在眼科中显示出对图像增强,疾病识别和合成数据生成的前景. 需要进一步的研究来解决挑战,并优化眼镜成像中的应用.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 生成型人工智能 (AI) 正在改变医学.
- 生成对抗网络 (GAN) 是一种强大的深度学习技术.
- 在眼科中,GAN越来越多地用于图像分析.
研究的目的:
- 审查目前关于GAN应用的眼科文献.
- 突出GAN在眼科中的关键贡献和潜在用途.
- 探索眼镜成像中的GAN,以增强,疾病识别和合成数据.
主要方法:
- 在PubMed,Ovid MEDLINE和Google Scholar的系统文献搜索 (开始至2022年10月).
- 包括40篇详细介绍眼科GAN应用的论文.
- 专注于光连贯断层扫描,MRI, fundus摄影和超声波中的GAN.
主要成果:
- 在眼科图像增强,疾病识别和合成数据生成方面,GAN显示出潜力.
- 应用范围涵盖各种眼部成像模式.
- 存在挑战,包括产生不准确或不典型的结果.
结论:
- 生成型人工智能,特别是GAN,对眼科的进步具有重大潜力.
- 未来的方向包括改进GAN以克服当前的局限性.
- 聊天GPT和其他生成人工智能工具也可能影响该领域.
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