Comparing No-Code Platforms and Deep Learning Models for Glaucoma Detection From Fundus Images

While the ResNet200d model outperformed both no-code platforms in diagnostic accuracy, the no-code platforms demonstrated robust capabilities, highlighting their potential to democratize artificial intelligence (AI) in healthcare. These results highlight the potential of no-code platforms for democratizing medical image analysis, especially in resource-limited contexts. Further studies with diverse datasets are recommended to validate these results.