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    Browsing by Subject Artificial intelligence Medical applications

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    Showing results 1 to 8 of 8
    • TVS.004593_TT_Juan M. Lavista Ferres, William B. Weeks - AI for Good_ Applications in Sustainability, Humanitarian Action, and Health-Wiley (2024).pdf.jpg
    • Sách/Book

    • AI for good: applications in sustainability, humanitarian action, and health

      • Authors: Lavista Ferres, Juan M (2024)

    • Trong cuốn sách, bạn sẽ tìm hiểu về cách biến đổi khí hậu, bệnh tật cũng như những thách thức đối với các quyền cơ bản của con người đều đang được giải quyết bằng các phương pháp có thể nhân rộng và mã AI có thể tái sử dụng
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    • Sách/Book

    • Artificial intelligence for neurological disorders

      • Authors: - (2022)

    • Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods.
    • TVS.004606_TT_Poongavanam V., Ramaswamy V. (ed.) - Computational Drug Discovery, 2 Volumes_ Methods and Applications. 1&2-WILEY-VCH (2024).pdf.jpg
    • Sách/Book

    • Computational Drug Discovery Methods and Applications

      • Authors: Poongavanam, Vasanthanathan (2024)

    • Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design.
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    • Sách/Book

    • Deep learning for targeted treatments : transformation in healthcare

      • Authors: - (2022)

    • Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient's healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases.
    • TVS.004467_TT_Rishabha Malviya, Sonali Sundram, Bhupendra Prajapati, Sudarshan Kumar Singh - Human-Machine Interface. Making Healthcare Digital-Scrive.pdf.jpg
    • Sách/Book

    • Human machine interface : making healthcare digital

      • Authors: Malviya, Rishabha (2024)

    • Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence
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    • Sách/Book

    • The AI revolution in medicine : GPT-4 and beyond

      • Authors: Lee, Peter (2023)

    • You'll see real GPT-4 dialogues -- unrehearsed and unfiltered, brilliant and blundering alike -- all annotated with invaluable context, candid commentary, real risk insights, and up-to-the-minute takeaways
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    • Sách/Book

    • Toward healthy aging : human needs and nursing response

      • Authors: Saini, Rakesh (2022)

    • This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book.