人工智能在骨病变中的应用：诊断与治疗（真实EPUB）

English | 2024 | ISBN: 1394230885 | 313 pages | True EPUB | 5.61 MB

ARTIFICIAL INTELLIGENCE FOR BONE DISORDER

The authors have produced an invaluable resource that connects the fields of AI and bone treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses.

The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently.

The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography.

With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems.

Audience

This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators.

人工智能在骨骼疾病治疗中的应用

作者们生产了一项宝贵资源，将人工智能（AI）和骨骼治疗领域的知识连接起来，提供了对当前状态和未来AI在骨骼状况诊断与疗法的洞察，以及机器学习算法、深度学习方法及其实际应用的系统性探讨。

本书探索了人工智能（AI）在各种骨骼疾病诊断和治疗中的应用。它详细讨论了AI方法在骨科、放射学、组织工程等与骨骼相关的领域中的一体化情况。书中涵盖了用于骨骼再生的组织工程技术方法，并着重强调了深度学习的重要性，以及如何高效利用AI进行组织工程技术。

本书还介绍了在骨科诊断和预测中的AI应用，包括髋关节和膝关节疾病诊断及治疗预后等内容。章节还探讨了MRI、骨小梁机械强度及其他检测骨质疏松的方法。此外，本书还研究了AI在儿童骨科、3D建模、数字X光射线测量、卷积神经网络定制护理以及数字断层扫描中的多种应用。

随着书中每一章节提供最新的发展和潜在未来应用信息，这些内容帮助我们更好地理解AI如何能用于诊断和治疗骨骼问题。

目标读者

这本书将为骨科专家、生物医学工程师、教师、研究学者、IT专业人员、医疗工作者以及医院管理者提供指导。

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