人工智能在糖尿病视网膜病变的诊断和管理中的作用
Areeb Ansari1, Nabiha Ansari1, Usman Khalid1
1Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Journal of clinical medicine
|July 29, 2025
概括
人工智能 (AI) 可以显著改善糖尿病视网膜病变 (DR) 的早期检测和诊断,这是视力丧失的主要原因. 人工智能提高了查的可访问性和管理,为全球视力健康提供了变革性的潜力.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 糖尿病视网膜病变 (DR) 是全球视力障碍的主要原因之一.
- 目前的DR查在专家可用性和诊断一致性方面面临挑战,特别是在服务不足的地区.
- 早期检测和管理对于预防糖尿病患者视力丧失至关重要.
研究的目的:
- 审查人工智能 (AI) 在糖尿病视网膜病变的诊断,查和管理中不断变化的作用.
- 探索人工智能的潜力,以提高诊断准确性和可访问性.
- 检查人工智能的临床影响,以改善DR患者的治疗结果.
主要方法:
- 进行了非系统的文献综述.
- 在PubMed和谷歌学者数据库中进行了搜索.
- 包括和综合了专注于DR查,诊断和医疗保健可访问性的AI应用的研究.
主要成果:
- 人工智能显示出改善糖尿病视网膜病变的诊断准确性的潜力.
- 机器学习和深度学习算法可以提高选效率和覆盖范围.
- 人工智能可以支持更容易获得和个性化的疾病管理策略.
结论:
- 人工智能为糖尿病视网膜病变护理提供了变革性的潜力.
- 人工智能可以实现早期检测,更广泛的查和个性化管理,改善全球视力健康.
- 持续的研究和道德部署对于最大化AI在现实世界DR应用中的好处至关重要.
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