The integration of AI and deep learning techniques has significantly improved medical imaging accuracy and diagnostic capabilities. Advances include improved hippocampus segmentation models for Alzheimer's prediction, machine learning-based prediction of radiation-induced toxicity in breast cancer, and AI-driven kidney stone diagnosis through enhanced radiographic imaging. These breakthroughs support timely and precise patient assessments, fostering personalized and effective treatment strategies in clinical practice.