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Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging de Rakesh Kumar

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

Editat de Rakesh Kumar, Meenu Gupta, Ajith Abraham, Paul Antony
en Limba Engleză Paperback – 20 noi 2024
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
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Specificații

ISBN-13: 9780443328923
ISBN-10: 0443328927
Pagini: 320
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

1. An Introductory approach for Bone Deformities, Osteoarthrosis, Osteoporosis, and Spondylosis of Spine using Machine Learning
2. Identification and Classification of Musculoskeletal Conditions using Artificial Intelligence and Machine Learning
3. Early-stage detection of osteoarthritis of the joints (hip and knee) using Machine Learning
4. Bone cancer classification and detection using Machine Learning techniques
5. Identification of the risk of osteoporosis in older Vietnamese women using Artificial Intelligence and Machine Learning
6. Identification of Paget's Disease in the Human body using Artificial Intelligence and Machine Learning
7. Identification of Osteonecrosis using Artificial Intelligence and Machine Learning
8. Identification and Classification of Rheumatoid Arthritis using Artificial Intelligence and Machine Learning
9. Early detection approach for Analysis of Osteoarthritis using Artificial Intelligence and Machine Learning
10. Pre-analysis of ankylosing spondylitis using Machine Learning
11. Analysis and identification of gout flares using Machine Learning
12. Impact of Amyloidosis on Bones and its relationship with dementia
13. Real-world application of Machine learning in Bone Deformities identification
14. Conclusion