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Intelligent computing in medicine and health care is revolutionizing diagnostics, treatment, and patient management through technologies like AI, machine learning, big data analytics, and IoT. AI algorithms analyze vast medical data, enabling early detection of conditions from medical images with accuracy comparable to experienced radiologists. Predictive analytics forecast disease outbreaks and patient complications, facilitating preemptive interventions. IoT devices continuously monitor patient vitals, providing real-time feedback. Personalized medicine leverages genomics and AI to tailor treatments, optimizing efficacy and minimizing side effects. Natural language processing enhances the utility of unstructured medical data, improving patient records and research. Telemedicine, powered by AI, bridges gaps in remote areas, while robotic process automation streamlines administrative tasks. Ethical considerations, such as data privacy and bias in AI, are crucial. Training healthcare professionals to utilize these technologies effectively ensures integration into clinical decision-making, ultimately transforming healthcare delivery.