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  • AI in Healthcare

    A Transparent Approach to Informatics

    This book addresses the urgent need for AI healthcare insights in a post-pandemic and swiftly progressing world in which the use of advanced health technologies is becoming the norm. It explores the rapidly evolving AI landscape affecting health systems and provides practical, evidence-informed guidance drawn from practice, theory, and research.Covering a wide range of topics—from digital health ... Leer más

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  • Remote Monitoring and Wearable Devices in Healthcare

    Series series Medicine (R0)
    In an age where digital transformation is redefining healthcare, this book offers a timely and comprehensive exploration of one of the field’s most dynamic frontiers. This interdisciplinary book brings together leading scholars, clinicians, engineers, and technologists from across the globe to examine how wearable devices and remote monitoring systems are revolutionizing patient care, clinical ... Leer más

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  • Real-World Evidence in a Patient-Centric Digital Era

    Series series Chapman & Hall/CRC Biostatistics Series
    Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative ... Leer más

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  • Artificial Intelligence for Improved Patient Outcomes

    Principles for Moving Forward with Rigorous Science

    Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner ... Leer más

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  • Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry

    A movement Toward more resilient and inclusive societies

    Series series Information Technologies in Healthcare Industry
    Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases. The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research ... Leer más

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  • The Physician's Guide to AI

    A Practical Primer Across Specialties

    Featuring 40+ Authors From 9 Medical SpecialtiesAI is changing medicine faster than any clinician can keep track. LLMs can now draft clinical notes, AI can read scans alongside radiologists, and new clinical decision tools are arriving faster than they can be meaningfully evaluated.Yet the vast majority of physicians say they still lack a clear picture of how AI is reshaping practice within their ... Leer más

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  • Artificial Intelligence in Medicine

    A Practical Guide for Clinicians

    de Campion Quinn ...
    'Artificial Intelligence in Medicine' is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses ... Leer más

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  • Digital Health

    Telemedicine and Beyond

    Edición de Dipu Patel ...
    Digital Health: Telemedicine and Beyond describes practical ways to use digital health tools in clinical practice. With a strong focus on case studies and patient outcomes, this title provides an overview of digital medicine, terms, concepts, and applications for the multidisciplinary clinical practitioner. Chapters provide a concise, yet comprehensive understanding of digital health, including ... Leer más

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  • Digitalization of Medicine in Low- and Middle-Income Countries

    Paradigm Changes in Healthcare and Biomedical Research

    Series series Medicine (R0)
    This open access book provides a framework to describe why digitalization of the medical provision services is needed and which level of digitalization is possible in low- and middle-income countries (LMIC). These countries have traditionally been economically and technologically not ready for digitalization, but with recent progress in digitized data acquisition, machine learning and computing ... Leer más

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  • Applications of Large Language Models (LLM) in Healthcare Systems

    Opportunities, Challenges, and Ethical Considerations

    This book offers a comprehensive exploration into the role of Large Language Models (LLMs) in modern healthcare. It focuses specifically on the lifecycle of LLM deployment in healthcare settings, including transparency, accountability, data privacy, and regulatory compliance to ensure safe and effective use.By bridging the gap between technical artificial intelligence (AI) development and clinical ... Leer más

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  • Digital Health for Primary Care

    Series series WONCA Family Medicine
    This book provides a comprehensive exploration of the role of Digital Health technologies in Primary Care. Discussing the transformative potential of Digital Health solutions and their impact on healthcare delivery within the Primary Care setting, the book offers insights, considers strategies, and shares practical guidance for all Primary Care providers interested in leveraging digital ... Leer más

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  • Artificial Intelligence In Drug Discovery And Development

    de Mbuso Mabuza ...
    Artificial Intelligence (AI) represents the simulation of human intelligence processes by computer systems, and in the 21st century, it has emerged as a transformative force in the healthcare and medical sectors. By leveraging machine learning—a key subset of AI—researchers and clinicians can extract vital insights from vast datasets, enabling more accurate predictions of health outcomes and ... Leer más

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