人工智能物联网和大数据分析在智能医疗应用中的运用

English | 2024 | ISBN: 9815196065 | 318 pages | True PDF EPUB | 10.51 MB

AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare. Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape. Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible. Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare. Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation. Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

AIoT（人工智能物联网）和大数据分析正在催化一场医疗健康革命。这本书是一个易于理解的综述性著作，总结了相关的信息。在这本书中，研究人员探讨了如何使AIoT和大数据无缝地融入医疗健康领域，同时提升医疗服务和设备的功能，并遵守现有的标准规范。该书还展示了这些技术在如新冠疫情等医疗危机中的关键作用。它呈现了由AIoT、机器学习以及深度学习驱动的创新解决方案和技术方法，为医疗问题解决开辟了一个新的前沿。 关键特性 现实生活实例：通过展示实际应用下的AIoT和大数据，突出它们对医疗的影响。 全面探讨：这本书提供了一个关于AIoT、大数据及其在医疗景观中的和谐共生关系的详尽审查。 视觉辅助工具：通过图表、流程图和信息图等形式使复杂概念变得易于理解，从而使技术过程及系统设计更加可消化。 伦理见解：深入探讨了AIoT与大数据的伦理层面，并解决数据偏见、患者同意以及医疗透明度等健康问题。 前瞻性讨论：这本书涉及新兴趋势、潜在创新方向以及对未来AIoT和大数据的发展进行展望，使其成为医疗转型的指南。 无论是来自学术界、业界还是研发组织的研究人员，对AIoT、大数据、人工智能以及优化医疗健康的兴趣者，都将从本书中获得启发。它还为那些渴望探索由AI和数据驱动下的医疗未来而感到兴奋的技术爱好者提供了一个更新。

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