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World J Methodol. Dec 20, 2023; 13(5): 419-425
Published online Dec 20, 2023. doi: 10.5662/wjm.v13.i5.419
Machine learning and deep neural network-based learning in osteoarthritis knee
Ashim Gupta, Manish Khanna, Shilpa Sharma, Arulkumar Nallakumarasamy, Naveen Jeyaraman, Madhan Jeyaraman, Harish V K Ratna
Harish V K Ratna, Department of Orthopaedics, Rathimed Speciality Hospital, Chennai 600040, Tamil Nadu, India
Madhan Jeyaraman, Naveen Jeyaraman, Arulkumar Nallakumarasamy, Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai 600077, Tamil Nadu, India
Madhan Jeyaraman, Ashim Gupta, Department of Orthopaedics, South Texas Orthopaedic Research Institute, Laredo, TX 78045, United States
Shilpa Sharma, Department of Paediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India
Manish Khanna, Department of Orthopaedics, Autonomous State Medical College, Ayodhya 224133, Uttar Pradesh, India
Ashim Gupta, Department of Regenerative Medicine, Regenerative Orthopaedics, Noida 201301, Uttar Pradesh, India
Ashim Gupta, Department of Regenerative Medicine, Future Biologics, Lawrenceville, GA 30043, United States
Ashim Gupta, Department of Regenerative Medicine, BioIntegarte, Lawrenceville, GA 30043, United States
Author contributions: Jeyaraman M contributed to conceptualization; Ratna HVK, Jeyaraman N, and Nallakumarasamy A contributed to initial draft; Ratna HVK and Jeyaraman M contributed to final draft; Sharma S, Khanna M, and Gupta A contributed to supervision; All authors accepted to publish the current version of the manuscript.
Conflict-of-interest statement: Authors declare no conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Madhan Jeyaraman, MS, PhD, Assistant Professor, Research Associate, Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai 600077, Tamil Nadu, India. madhanjeyaraman@gmail.com
Received: July 16, 2023
Peer-review started: July 16, 2023
First decision: September 13, 2023
Revised: September 14, 2023
Accepted: September 28, 2023
Article in press: September 28, 2023
Published online: December 20, 2023
Processing time: 156 Days and 21.4 Hours
Core Tip

Core Tip: Application of machine learning in research has various clinical advances viz, osteoarthritis (OA) knee being diagnosed at preliminary stages, prediction of development of OA, discovering various phenotypes. Large cohorts have been formulated viz, the OA Initiative, the Multi-centre Osteoarthritis Study and the Cohort Hip & Cohort Knee. Many studies are awaited to find about the link between ML and knee OA, which would improve making decisions clinically, and expedite the necessary interventions.