基于人工智能的应用程序用于查和诊断糖尿病视网膜病变和常见的眼睛疾病
Rajwinder Kaur1, Arvind Kumar Morya2, Parul C Gupta3
1Department of Ophthalmology, Adesh Institute of Medical Sciences and Research, Bathinda 151101, Punjab, India.
World journal of methodology
|September 3, 2025
概括
人工智能和深度学习在诊断和预测糖尿病视网膜病变等眼病方面表现有前途. 整合人工智能到远程医疗可以提高眼科护理,尽管存在实施挑战.
科学领域:
- 眼科 眼科
- 医疗人工智能
- 数字健康
背景情况:
- 人工智能 (AI),包括机器学习和深度学习,越来越多地被用于医学科学.
- 人工智能在改善疾病诊断和预后方面具有显著的潜力.
- 深度学习是人工智能的一个子集,
研究的目的:
- 提供对眼科人工智能应用的全面审查.
- 突出AI在诊断和预测糖尿病视网膜病变 (DR),青光眼和与年龄相关的斑点退化等疾病中的作用.
- 讨论人工智能与远程医疗的整合以及眼科护理的未来前景.
主要方法:
- 对眼科人工智能的当前文献进行审查.
- 用于诊断和预测眼部疾病的各种AI算法的分析.
- 检查眼科人工智能实施的挑战和机遇.
主要成果:
- 人工智能,尤其是深度学习, 对于诊断DR,青光眼和与年龄相关的斑点退化等疾病有重要作用.
- 在早期预测青光眼和与年龄相关的黄斑退化方面,人工智能表现强.
- 人工智能与远程医疗的整合为改善医疗服务提供了潜力.
结论:
- 人工智能在眼科诊断和预测方面具有显著的前景.
- 进一步将人工智能纳入眼科护理,特别是通过远程医疗,可以提高患者的治疗效果.
- 应对实施挑战,特别是在发展中国家,对于在眼科保健中广泛采用人工智能至关重要.
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