We utilize artificial intelligence (AI) to enhance medical imaging processes. Our research involves the development of sophisticated algorithms for the segmentation, classification, and analysis of medical images. Segmentation consists of identifying and delineating anatomical structures and potential pathological areas within medical images, such as CT scans and MRIs. Classification algorithms are designed to assist in the accurate diagnosis of diseases by categorizing medical images into various diagnostic categories. Our image analysis efforts focus on extracting critical information from medical images that can inform clinical decisions, improve diagnostic accuracy, and streamline workflows. By automating and refining these processes, we aim to reduce human error, increase diagnostic confidence, and ultimately improve patient outcomes.