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
Sprache
Verlagsort
Dateigröße
ISBN-13
978-0-443-32893-0 (9780443328930)
Schweitzer Klassifikation
1. An Introductory approach for Bone Deformities, Osteoarthrosis, Osteoporosis, and Spondylosis of Spine using Machine Learning2. Identification and Classification of Musculoskeletal Conditions using Artificial Intelligence and Machine Learning3. Early-stage detection of osteoarthritis of the joints (hip and knee) using Machine Learning4. Bone cancer classification and detection using Machine Learning techniques5. Identification of the risk of osteoporosis in older Vietnamese women using Artificial Intelligence and Machine Learning6. Identification of Paget's Disease in the Human body using Artificial Intelligence and Machine Learning7. Identification of Osteonecrosis using Artificial Intelligence and Machine Learning8. Identification and Classification of Rheumatoid Arthritis using Artificial Intelligence and Machine Learning9. Early detection approach for Analysis of Osteoarthritis using Artificial Intelligence and Machine Learning10. Pre-analysis of ankylosing spondylitis using Machine Learning11. Analysis and identification of gout flares using Machine Learning12. Impact of Amyloidosis on Bones and its relationship with dementia13. Real-world application of Machine learning in Bone Deformities identification14. Conclusion
