IoMT (Internet of Medical Things) combines healthcare devices and IoT technology to address the growing complexity of conditions like cancer and cardiotoxicity. Our research applies deep learning, transfer learning, and attention-based networks to analyze multimodal health data, including imaging, biomarkers, and bio-signals. Key developments include CNN models for diagnosis, multimodal fusion frameworks like TLCD-Net, and explainable AI for cardiotoxic risk stratification. Looking ahead, 5G/6G-enabled IoMT networks will enhance real-time data transmission, connectivity, and predictive analytics, advancing personalized healthcare and IoT-driven medical systems.