• The developed system achieves high accuracy (AUC 0.94) for early CKD detection using machine learning on multimodal data.
• Integration with cloud computing enables real-time remote monitoring and alerts, improving patient management.
• Explainable AI (XAI) provides interpretable predictions, enhancing clinician trust and adoption.
• Federated learning ensures data privacy while enabling collaborative model improvement across institutions.