Epithelial Dysplasia

Epithelial dysplasia, a precancerous condition affecting various tissues, poses diagnostic challenges due to significant inter-observer variability in grading and an unreliable prediction of malignant transformation. Current research focuses on developing artificial intelligence algorithms, particularly employing transformer-based models and convolutional neural networks, to automate dysplasia detection and risk stratification from histopathological images. These AI tools aim to improve diagnostic accuracy, consistency, and ultimately, patient outcomes by providing objective assessments and potentially identifying high-risk individuals earlier. The improved diagnostic capabilities offered by these methods hold significant promise for enhancing clinical decision-making and optimizing treatment strategies.