A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies

  • Ala S. Al Kafri
  • Sud Sudirman
  • Abir J. Hussain
  • Paul Fergus
  • Dhiya Al-Jumeily
  • Mohammed Al-Jumaily
  • Haya Al-Askar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9771)

Abstract

Back pain is one of the major musculoskeletal pain problems that can affect many people and is considered as one of the main causes of disability all over the world. Lower back pain, which is the most common type of back pain, is estimated to affect at least 60 % to 80 % of the adult population in the United Kingdom at some time in their lives. Some of those patients develop a more serious condition namely Chronic Lower Back Pain in which physicians must carry out a more involved diagnostic procedure to determine its cause. In most cases, this procedure involves a long and laborious task by the physicians to visually identify abnormalities from the patient’s Magnetic Resonance Images. Limited technological advances have been made in the past decades to support this process. This paper presents a comprehensive literature review on these technological advances and presents a framework of a methodology for diagnosing and predicting Chronic Lower Back Pain. This framework will combine current state-of-the-art computing technologies including those in the area of artificial intelligence, physics modelling, and computer graphics, and is argued to be able to improve the diagnosis process.

Keywords

Computer aided/assisted diagnosis Chronic Lower Back Pain Artificial intelligence Physics modelling Computer graphics 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ala S. Al Kafri
    • 1
  • Sud Sudirman
    • 1
  • Abir J. Hussain
    • 1
  • Paul Fergus
    • 1
  • Dhiya Al-Jumeily
    • 1
  • Mohammed Al-Jumaily
    • 2
  • Haya Al-Askar
    • 3
  1. 1.Faculty of Engineering and TechnologyLiverpool John Moores UniversityLiverpoolUK
  2. 2.Consultant Neurosurgeon and Spine SurgeonDr Sulaiman Al Habib Hospital, Dubai Healthcare CityDubaiUAE
  3. 3.College of Computer Engineering and ScienceSattam Bin Abdulaziz UniversityAl-KharjKingdom of Saudi Arabia

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