Table 1 Comparison of studies using MLC in retinal imaging for disease detection.

From: GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data

Authors

Data type

AI type

Accuracy

Medeiros et al.69

OCT images

Machine learning classifier (MLC)

83.70%

Kim et al.40

OCT images

Machine learning classifier (MLC)

98%

Townsend et al.75

cSLO images

Machine learning classifier (MLC)

–

Uchida et al.76

cSLO images

Machine learning classifier (MLC)

92%

GAINSeq (proposed)

 

Random forest

99%

NGS data

Decision tree

99%

 

SVM

92%

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