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Mapping the Research Landscape of Deep Learning in Knee Osteoarthritis

Author

Listed:
  • Shivangi Pathania

    (Department of Physiotherapy, Chandigarh University, Punjab, India)

  • Navjyot Trivedi

    (Department of Physiotherapy, Chandigarh University, Punjab, India)

  • Chander Prabha

    (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)

  • Shashikant Patil

    (Atlas SkillTech University, Kurla, India)

  • Meena Malik

    (Department of Computer Science and Engineering, Chandigarh University, Mohali, India)

  • Varsha Arya

    (Hong Kong Metropolitan University, Hong Kong & Center for Interdisciplinary Research, University of Petroleum and Energy Studies, Dehradun, India)

  • Vincent Shin-Hung Pan

    (Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan)

  • Brij B. Gupta

    (Department of Computer Science and Information Engineering, Asia University, , Taichung, Taiwan & Symbiosis Centre for Information Technology, Symbiosis International University, Pune, India & School of Cybersecurity, Korea University, Seoul, South Korea & VIZJA University, Warsaw, Poland)

Abstract

A comprehensive bibliometric analysis of the research in deep learning applied to knee osteoarthritis (KOA) classification is presented. The Scopus database was analyzed from 2015 to 2025 for 3,199 articles. The purpose of this study has been to understand publication patterns and identify top contributors, thematic clusters, and emerging research areas in this area. Results indicate a surge in research activity, particularly over recent years as the number of publications rises dramatically. China, United States, and India were major leading countries in terms of the research output, while the University of California and University of Stanford were identified as major contributors. Co-word analysis highlighted four key thematic clusters. In this paper, the authors examine advancements in deep learning architectures, imaging modalities used for KOA diagnosis, machine learning interpretation techniques, and data preprocessing techniques.

Suggested Citation

  • Shivangi Pathania & Navjyot Trivedi & Chander Prabha & Shashikant Patil & Meena Malik & Varsha Arya & Vincent Shin-Hung Pan & Brij B. Gupta, 2025. "Mapping the Research Landscape of Deep Learning in Knee Osteoarthritis," International Journal of Intelligent Information Technologies (IJIIT), IGI Global Scientific Publishing, vol. 21(1), pages 1-16, January.
    • Handle: RePEc:igg:jiit00:v:21:y:2025:i:1:p:1-16
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