人工智能和眼科的深度学习:目前的状况和未来的前景.
1Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Advances in ophthalmology practice and research
|October 17, 2023
概括
眼科人工智能 (AI) 有助于诊断疾病,但临床使用受到信任和可解释性问题的限制. 这篇评论探讨了人工智能应用,挑战和眼科护理的未来方向.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 深度学习 (Deep Learning) 是一种深度学习.
背景情况:
- 眼科是医学中人工智能 (AI) 的早期采用者之一.
- 数字化的眼部图像和大型数据集激发了对眼部疾病深度学习 (DL) 的兴趣.
研究的目的:
- 审查人工智能在眼科中的应用.
- 突出AI采用的临床考虑因素.
- 讨论人工智能在眼科护理中的挑战和未来方向.
主要方法:
- 对眼科人工智能应用的文献综述.
- 对眼科疾病的当前AI系统的分析.
- 检查临床AI实施的障碍.
主要成果:
- 人工智能主要用于诊断眼科疾病,如糖尿病视网膜病变,玻璃眼瘤和AMD.
- 由于安全,隐私,信任和可解释性问题,大多数人工智能系统仍然是实验性的.
- 有限的AI工具已经实现了广泛的临床应用.
结论:
- 人工智能为改善眼科疾病诊断和决策提供了巨大的潜力.
- 解决诸如信任和可解释性等挑战对于更广泛的人工智能采用至关重要.
- 未来的研究应该专注于克服临床实施的障碍,并探索新的AI应用.
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