In recent years, deep learning, particularly Convolutional Neural Networks (CNNs), has emerged as a tool in healthcare, particularly in the realm of medical image classification. By using the power of CNNs, healthcare providers can now achieve remarkable levels of precision in identifying abnormalities, ranging from tumors to fractures, across various modalities such as MRI, CT scans, and X-rays. As deep learning continues to evolve, Its application in medical image classification is paving the way for more personalized and effective diagnostic approaches.