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« ng khai mun »

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  • Enabling Collaborative Health Intelligence With Federated Learning

    Modifié par Ng Khai Mun, Chin-Shiuh Shieh, Danish Ather, Arvind Panwar, Vishal Jain ...
    In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information. Federated Learning offers a great solution by enabling collaborative health intelligence across ... En savoir plus

    $289.59 CAD

  • Applied AI and Computational Intelligence in Diagnostics and Decision-Making

    Modifié par Danish Ather, Ng Khai Mun, Sachin Jain, Vishal Jain, Vinay Kukreja ...
    The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not ... En savoir plus

    $283.99 CAD

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  • AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans

    Modifié par Balasubramaniam S., Seifedine Kadry ...
    AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, ... En savoir plus

    $523.19 CAD

  • AI, Machine Learning, and IoT for Communication and Medical Applications

    Modifié par Altaf O. Mulani, Korhan Cengiz, Suman Lata Tripathi ...
    The integration of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) into communication and healthcare systems presents a complex array of challenges. From data security and privacy concerns to ethical dilemmas and the need for regulatory frameworks, the adoption of these transformative technologies requires careful consideration and expertise. Additionally, the ... En savoir plus

    $261.59 CAD

  • Next-Generation Therapeutics Using Internet of Things and Machine Learning

    Modifié par Mohammed Shuaib, Shadab Alam, A. Rajaram, Kishor Kumar Reddy C. ...
    The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In ... En savoir plus

    $261.59 CAD

  • Responsible AI for Digital Health and Medical Analytics

    Modifié par Ben Othman Soufiene, Chinmay Chakraborty ...
    In recent years, the healthcare industry has witnessed a rapid integration of artificial intelligence (AI) into various aspects of patient care, diagnosis, treatment, and management. The promise of improved efficiency, accuracy, and personalized healthcare has spurred the development and adoption of AI technologies. However, this rapid advancement has brought forth numerous ethical challenges, ... En savoir plus

    $578.39 CAD

  • Federated Learning and Privacy-Preserving in Healthcare AI

    Modifié par Umesh Kumar Lilhore, Sarita Simaiya, Manoharan Poongodi, Vishal Dutt ...
    The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has ... En savoir plus

    $444.79 CAD

  • Convergence of Internet of Medical Things (IoMT) and Generative AI

    Modifié par V. Vinoth Kumar, Polinpapilinho F. Katina, Jingyuan Zhao ...
    In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable ... En savoir plus

    $661.59 CAD

  • Securing Health

    The Convergence of AI and Cybersecurity in Healthcare

    Modifié par Rejwan Bin Sulaiman, Usman Javed Butt, Yassine Maleh, Mohammad Aljaidi, Md. Simul Hasan Talukder, Musarrat Saberin Nipun ...
    Collections series Advances in Cybersecurity Management
    Securing Health: The Convergence of AI and Cybersecurity in Healthcare explores how emerging technologies are revolutionizing modern medicine, ensuring not just innovation but safety and trust in the digital age. As artificial intelligence and cybersecurity rapidly transform industries, this timely book offers an in-depth look at their powerful convergence within the healthcare sector.Organized ... En savoir plus

    $107.99 CAD

  • Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes

    Modifié par Shashi Kant Gupta, Dimitrios A. Karras, Rajesh Natarajan ...
    Collections series Intelligent Technologies and Robotics (R0)
    This book showcases an endeavor to delve into the fusion of artificial intelligence (AI) and the Internet of Things (IoT) within the healthcare domain.The healthcare sector is currently experiencing a shift fueled by technological advancements and a heightened focus on providing tailored, efficient and impactful care to individuals. AI and IoT have emerged as facilitators of this evolution ... En savoir plus

    $256.19 CAD

  • Responsible Analytics for Superior Health Quality Outcomes

    Modifié par Nilmini Wickramasinghe, Rima Gibbings ...
    Responsible analytics in healthcare achieves superior health quality outcomes by ensuring data-driven decisions are ethical, transparent, and patient-centered. As healthcare systems rely on big data, AI, and predictive modeling, the importance of responsible data governance, bias mitigation, and privacy protection has become critical. Responsible analytics involves accountability in data ... En savoir plus

    $272.79 CAD

  • AI Model Design and Data Management for Disease Prediction

    Modifié par Anandhavalli Muniasamy ...
    The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and ... En savoir plus

    $272.79 CAD