Ai-Driven Evolutionary Computation In Medical Robotics: A Predictive Approach To Healthcare Monitoring And Crisis Prevention

AI-Driven Evolutionary Computation inMedical Robotics:A Predictive Approach to HealthcareMonitoring and Crisis PreventionSagnik SenDepartment of Computer Science and Engineering Cooch Behar Government Engineering CollegeMay 29, 2025AbstractThis paper explores the integration of Artificial Intelligence (AI) and Evolution-ary Computation (EC) into medical robotics to enhance predictive healthcare andprovide real-time monitoring solutions. By leveraging machine learning models,adaptive algorithms, and on-device micro-training, we develop a system capable ofdetecting early symptoms of patient crises. Our approach features an innovativeevolutionary optimization loop and extensive data fusion between physiological andenvironmental metrics, leading to significant improvements in response latency anddiagnostic accuracy.KeywordsAI-driven healthcare, predictive analytics, evolutionary computation, medical robotics,risk assessment models, IoT-based health monitoring, cloud-edge AI integration, machinelearning in medicine, real-time diagnostics, AI ethics in healthcare, federated learning,deep learning in medical applications.Contents1 Introduction5 1.1 Motivation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51.2 Research Ob jectives. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51.3 Contributions. . . . . . . . .