Artificial Intelligence for Bone Disorder

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A01=Makarand Vaidya
A01=Rishabha Malviya
A01=Shivam Rajput
Age Group_Uncategorized
Age Group_Uncategorized
algorithms
Artificial intelligence
Author_Makarand Vaidya
Author_Rishabha Malviya
Author_Shivam Rajput
automatic-update
bone fracture
bone regeneration
bone repair
Category1=Non-Fiction
Category=MJA
Category=MJE
Category=UYQ
COP=United States
deep learning
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fracture risk assessment
gene therapy
Language_English
machine learning
network structure
orthopedic
osteoporosis
PA=Available
Price_€100 and above
PS=Active
radiology
softlaunch
spinal disorder
surgery prediction
tissue engineering

Product details

  • ISBN 9781394230884
  • Weight: 694g
  • Publication Date: 02 Feb 2024
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

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.

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