Application of Artificial Intelligence in Orthopaedic Imaging: Current trends, Challenges and Future Perspective
Yousif Sharaf1*, Baha Taha2 and Yakub Sayyad3
1Orthopedic & Spine Consultant, Alsharaf orthopedic and spine Center, Bahrain
2Anesthesiology, Campbellton Regional Hospital, Campbellton, NB, Canada-E3N 0C7, Campbellton, NB-Canada
3Clinical Research, Shifa Clinic, Chikhli, Ramdasnagar, Pcmc, Pune-412114, Maharashtra- India
*Corresponding Author: Dr. Yousif Sharaf, Orthopedic & Spine Consultant, Alsharaf orthopedic and spine Center, Bahrain +973 3966 6287
Received: December 08, 2022 Published: December 20, 2022
Abstract
Digital technology has significantly advanced human life especially in Healthcare. Computer processing of big data and data science have come a long way in creating softwares that improve providing quality of care and patient management. The purpose of this review is to provide a structured understanding about the current trends in different imaging modalities based on the advanced AI (Artificial Intelligence) led technologies; also, briefly focus on the challenges being posed. The current review has been prepared after researching a total of 20 articles that were published in various journals. PubMed, Scopus, Springer, Research Gate and various magazine blogs are some of the databases used. AI has proven to accurately help Physicians and orthopedic surgeons helps in guiding the appropriate treatment and management of various musculoskeletal disorders. AI finds its applications in various osseous abnormalities such as fractures, skeletal tumors and spine disorders through imaging modalities such as X-rays, MRI and CT scans using AI-assisted tools like Bone View, BoneXpert, XRAIT, fastMRI dataset, Spin Analyzer to name a few. AI has the ability to create a digital information system for better diagnosis and treatment of patients such as detection of bone density or loss, fractures and tumors. In addition to that, AI tools can take over a bigger chunk of the repetitive work from physicians, as will be discussed later with x-rays, thereby reducing the workload on the physicians to allow them to provide better quality of care and free them up for performing more tasks.
Keywords: Artificial intelligence, machine learning, neural networks, imaging, Magnetic resonance imaging (MRI), Computed Tomography (CT) scan, bone scintigraphy, X-Rays
Citation: Sharaf Y, Taha B, Sayyad Y. “Application of Artificial Intelligence in Orthopaedic Imaging: Current trends, Challenges and Future Perspective” SVOA Orthopaedics 2022, 2:6, 133-138.