Artificial intelligence and machine learning continue to unlock novel insights and improve healthcare applications. AI-based tools predict Alzheimer's progression, refine embryo classification with the EmbryoNet-VGG16 framework, and enhance human activity recognition using hybrid clustering methods. Machine learning models, such as XGBoost, enable precise tumor differentiation. Further, AI-driven grading systems elevate simulation-based education, while advanced computational modeling improves early stroke outcomes prediction. These innovations demonstrate AI’s integral role in diagnostics, education, and patient care optimization.