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Enhancing Healthcare with Intelligent Solutions
Abstract
This paper explores the enhancement of healthcare through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional healthcare practices, including medical diagnosis, treatment planning, and patient care. The study highlights the application of AI techniques such as machine learning, image analysis, and natural language processing in improving accuracy, efficiency, and accessibility in healthcare delivery. Additionally, it discusses the integration of AI with electronic health records, wearable devices, and telemedicine platforms to enable personalized medicine, remote monitoring, and preventive healthcare. The paper also addresses challenges such as data privacy, algorithm bias, and regulatory compliance in the adoption of AI-driven engineering solutions in healthcare. It emphasizes the importance of interdisciplinary collaboration, patient engagement, and ethical considerations in leveraging AI's potential to transform healthcare systems and improve population health outcomes.
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