Artificial Intelligence for Bone Disorder: Diagnosis and Treatment

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.

《骨骼疾病的人工智慧》

作者們提供了一份寶貴的資源，將人工智慧和骨骼治療領域聯繫起來，提供了對於人工智慧在骨骼狀況診斷和治療中的現狀和未來的重要見解，並對機器學習算法、深度學習方法及其在實際應用中的系統性研究進行了詳細探討。

本書探討了人工智慧在診斷和治療各種骨骼疾病中的應用。詳細討論了人工智慧方法在骨科、放射學、組織工程等與骨骼相關領域的整合。書中涵蓋了骨骼再生的組織工程方法，並探討了在這一領域中使用人工智慧工具的價值，強調了深度學習的價值以及如何有效地在組織工程中應用人工智慧。

本書還涵蓋了人工智慧在骨科診斷和預後方面的應用，例如髖關節和膝關節相關疾病的診斷以及治療預後的預測。書中還介紹了MRI、骨小梁生物力學強度和其他診斷骨質疏鬆症的方法。書中還探討了人工智慧在小兒骨科、3D建模、數字X射線放射測量、卷積神經網絡用於個性化護理以及數字斷層掃描等方面的應用。

每一章節都提供了最新發展和潛在未來應用的資訊，推進了我們對於如何使用人工智慧診斷和治療骨骼問題的理解。

本書適合骨科專家、生物醫學工程師、教職員工、研究學者、IT專家、醫療保健工作者和醫院管理人員參考。

Rishabha Malviya, PhD, is an associate professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University. He has authored more than 150 research/review papers for national/international journals. He has been granted more than 10 patents from different countries while a further 40 patents are published/under evaluation. He has edited multiple volumes for Wiley-Scrivener.

Shivam Rajput completed his MPharm. at Galgotias University, Greater Noida, India. He is currently an assistant professor at IITM College of Pharmacy, Sonipat, Hariyana, India. His areas of research include nanoformulations, cancer nanomedicine, and green nanotechnology for therapeutic applications.

Makarand Vaidya completed his Master of Surgery in Orthopaedics from Hindu Rao Hospital, Delhi where he is currently a faculty member. He has had a distinguished academic career and has published many research papers and books.

Rishabha Malviya, 博士，是印度Galgotias大學醫學與聯合科學學院藥學系的副教授。他已經為國內外期刊撰寫了150多篇研究/評論論文。他已經獲得了來自不同國家的10多項專利，同時還有40項專利已經發表/正在評估中。他曾為Wiley-Scrivener編輯過多個專著。

Shivam Rajput 在印度Greater Noida的Galgotias大學完成了他的藥學碩士學位。他目前是印度Sonipat的IITM藥學院的助理教授。他的研究領域包括納米制劑、癌症納米醫學和綠色納米技術在治療應用中的應用。

Makarand Vaidya 在印度德里的Hindu Rao醫院完成了他的骨科碩士學位，目前是該醫院的教職員。他在學術上有著卓越的成就，並發表了許多研究論文和書籍。