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
Ajith Abraham & Paul Antony
Diagnosing Musculoskeletal Conditions using Artificial Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging [EPUB ebook]
Diagnosing Musculoskeletal Conditions using Artificial Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging [EPUB ebook]
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Мова Англійська ● Формат EPUB ● ISBN 9780443328930 ● Редактор Ajith Abraham & Paul Antony ● Видавець Elsevier Science ● Опубліковано 2024 ● Завантажувані 3 разів ● Валюта EUR ● Посвідчення особи 10051285 ● Захист від копіювання Adobe DRM
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