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Diagnosing Musculoskeletal Conditions Using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging - (Paperback)

Diagnosing Musculoskeletal Conditions Using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging - (Paperback) - 1 of 1
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About this item

Highlights

  • Bone deformations can lead to musculoskeletal disorders and negatively impact on individual quality of life.
  • Author(s): Rakesh Kumar & Meenu Gupta & Ajith Abraham & Paul Antony
  • 320 Pages
  • Science, Life Sciences

Description



Book Synopsis



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.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .67 Inches (D)
Weight: 1.22 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 320
Genre: Science
Sub-Genre: Life Sciences
Publisher: Academic Press
Theme: Biology
Format: Paperback
Author: Rakesh Kumar & Meenu Gupta & Ajith Abraham & Paul Antony
Language: English
Street Date: November 20, 2024
TCIN: 1001766077
UPC: 9780443328923
Item Number (DPCI): 247-43-4321
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.67 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.22 pounds
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