人工智能在骨骼疾病诊断与治疗中的应用

English | 2024 | ISBN: 1394230885 | 262 pages | True PDF | 15.2 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中的应用 该书提供了一个将AI和骨治疗领域的资源连接起来的宝贵工具，提供了关于当前状态及未来AI在骨病诊断与疗法中所处位置的重要见解，并对机器学习算法、深度学习方法及其实际应用进行了系统性的审查。 本书探讨了人工智能（AI）在各种骨骼疾病诊断和治疗中的应用。书中详细讨论了骨科、放射学、组织工程学以及其他涉及骨骼的领域的AI技术整合问题。它涵盖了用于骨再生的组织工程方法，并研究了AI工具在此领域中的应用价值，强调深度学习的重要性以及如何高效地使用AI进行组织工程。 此外，本书还探讨了AI在骨科诊断和预测疗法方面的用途，例如髋关节和膝关节相关疾病诊断及治疗预测。书中也讨论了MRI、皮质骨机械强度等诊断骨质疏松症的方法。另外，本书还研究了几种AI在儿科骨科、3D建模、数字X射线放射学测量、卷积神经网络定制护理及数字化成像技术中的应用。 每章均包含关于最新发展和潜在未来用途的信息，帮助我们更好地理解AI如何应用于骨骼疾病的诊断与治疗。 受众 本书将为骨科专家、生物医学工程师、教职员工、研究学者、IT专业人士、医护人员以及医院管理者提供指导。

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