Researchers from Hungarian institutions demonstrated that AI models can analyze confocal microscopy images to diagnose ocular surface squamous neoplasia with high precision. By comparing neural networks like ResNet50V2, Yolov8x, and VGG19, they achieved over 90% accuracy at patient-level diagnosis, highlighting deep learning’s practical use in medical imaging.