Diagnosing Musculoskeletal Conditions using Artificial Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging

Rakesh Kumar, Meenu Gupta, Ajith Abraham, Paul Antony

• Publisher: Academic Press
• Year: 2024
• eBook ISBN: 9780443328930
• Edition: 0
• Topic: Biological Sciences
• Subtopic: Biology
• Index: Biological Sciences

Bone deformations can lead to musculoskeletal disorders and negatively impact on individual quality of life. Early and accurate detection of bone deformation is crucial for effective medical intervention. Diagnosing Musculoskeletal Conditions Using Artificial Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging outlines a comprehensive approach that integrates Artificial Intelligence (AI) and Machine Learning (ML) techniques to identify bone deformations promptly and accurately. By leveraging advanced image analysis and pattern recognition, this approach aims to revolutionize the field of orthopedic diagnostics. This book covers challenges, technologies, applications, and future trends of AI and ML in Bone Deformation, addressing advanced and innovative techniques, frameworks, methodologies, and practical implementations of machine learning to get early predictions of Bone deformation. Written by experts in the field for researchers, surgeons, students, and instructors interested in musculoskeletal conditions. - Presents fundamental concepts and analysis of machine learning algorithms and diagnoses in bone deformation - Addresses human health issues related to bone deformation using a different machine learning algorithm - Provides innovative, new approaches for machine learning in musculoskeletal conditions with its future directions

Table of contents

• Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging
• Cover
• Title page
• Copyright
• Table of Contents
• Contributors
• Preface
• Chapter 1 An introductory approach to bone deformities, osteoarthrosis, osteoporosis, and spondylosis of spine using machine learning
• Chapter 2 Identification and classification of musculoskeletal conditions using artificial intelligence and machine learning
• Chapter 3 Early stage detection of osteoarthritis of the joints (hip and knee) using machine learning
• Chapter 4 Bone cancer classification and detection using machine learning technique
• Chapter 5 Identification of the risk of osteoporosis in older Vietnamese women using artificial intelligence and machine learning
• Chapter 6 Identification of paget disease in the human body using artificial intelligence and machine learning
• Chapter 7 Identification and classification of rheumatoid arthritis using artificial intelligence and machine learning
• Chapter 8 Early detection approach for analysis of osteoarthritis using artificial intelligence and machine learning
• Chapter 9 Preanalysis of ankylosing spondylitis using machine learning
• Chapter 10 Analysis and identification of gout flares using machine learning
• Chapter 11 Impact of amyloidosis on bones and its relationship to dementia
• Chapter 12 Machine learning for bone deformation detection in real-world applications
• Chapter 13 Artificial intelligence and machine learning for foot and ankle disorders
• Chapter 14 Conclusion: A future perspective on diagnosing musculoskeletal conditions using artificial intelligence and machine learning
• Index