Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
This review examines how Artificial Intelligence and Deep Learning, integrated with Internet of Medical Things (IoMT) devices, are used to predict terminal diseases like heart disease and cancer. The research shows that advanced models like CNNs and LSTMs achieve high accuracy in analyzing complex medical data from sensors. Key challenges include data diversity, model overfitting, and ensuring patient privacy for real-world clinical use.