Performance of Artificial Intelligence in Detecting Diabetic Macular Edema From Fundus Photography and Optical Coherence Tomography Images: A Systematic Review and Meta-analysis.
Ching LamYiu Lun WongZiqi TangXiaoyan HuTruong X NguyenDawei YangShuyi ZhangJennifer DingSimon K H SzetoAn Ran RanCarol Yim-Lui CheungPublished in: Diabetes care (2024)
This meta-analysis demonstrates satisfactory performance of AI in detecting DME from FP or OCT images. External validation is warranted for future studies to evaluate model generalizability. Further investigations may estimate optimal sample size, effect of class balance, patient demographics, and additional benefits of OCT volumetric scans.
Keyphrases
- artificial intelligence
- optical coherence tomography
- diabetic retinopathy
- deep learning
- systematic review
- case control
- machine learning
- big data
- optic nerve
- computed tomography
- meta analyses
- case report
- convolutional neural network
- current status
- randomized controlled trial
- contrast enhanced
- magnetic resonance
- magnetic resonance imaging