对基于机器学习的糖尿病视网膜病变进展风险预测模型进行系统的文献综述
Tiwalade Modupe Usman1, Yakub Kayode Saheed1, Augustine Nsang1
1American University of Nigeria, Nigeria.
Artificial intelligence in medicine
|September 6, 2023
概括
本综述强调,需要对人工智能 (AI) 和机器学习 (ML) 进行更多的纵向研究,以预测糖尿病视网膜病变 (DR) 的进展. 当前的人工智能模型显示出前景,但需要进一步开发以解决已识别的研究差距.
科学领域:
- 眼科和医疗信息学
- 医疗保健中的人工智能
背景情况:
- 糖尿病视网膜病变 (DR) 是糖尿病患者视力受损的主要原因,往往静静地进展到视力丧失.
- 了解DR进展对于及时的临床干预和管理至关重要.
- 现有的研究主要以横截面研究为特征,基于人工智能的风险预测纵向模型很少.
结论:
- 未来的研究应该专注于开发和验证DR进展的纵向AI模型.
- 解决发现的研究差距对于提高DR风险预测模型的性能至关重要.
- 本综述为开发DR和相关疾病的新型AI预测模型的研究人员提供了见解.
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