As artificial intelligence advances, it is increasingly applied to healthcare to assist with diagnostic and analytical tasks. MedMNIST classification provides a simplified setting for exploring these methods, using small, standardized medical image datasets. It serves as a benchmark for developing and testing models that can learn effectively from limited and imbalanced data, reflecting common challenges in real-world medical applications.