A new framework integrates mutual information filtering with deep learning to optimize intrusion detection in Internet of Medical Things systems. The approach uses accelerated metaheuristic optimization to reduce data dimensionality. This improves detection speed and accuracy for healthcare cybersecurity. Practitioners can now identify network threats faster without sacrificing the precision of patient safety monitoring.