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Applications of Artificial Intelligence in Back Pain Management: A Systematic Review of Mobile and Digital Health Interventions

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Review Article | Journal of Clinical Orthopaedics | Vol 10 | Issue 2 | July-December 2025 | page: 34-36 | Vishal Kumar, Manuj Jain, Aditya Gupta, Arvind Vatkar, Akashdeep Singh, Sarvdeep Singh, Sachin Kale

DOI: https://doi.org/10.13107/jcorth.2025.v10.i02.770

Open Access License: CC BY-NC 4.0

Copyright Statement: Copyright © 2025; The Author(s).

Submitted Date: 13 Aug 2025, Review Date: 10 Sep 2025, Accepted Date: 10 Oct 2025 & Published Date: 10 Dec 2025

Author: Vishal Kumar [1], Manuj Jain [2], Aditya Gupta [1], Arvind Vatkar [3], Akashdeep Singh [1], Sarvdeep Singh [1], Sachin Kale [4]

[1] Department of Orthopaedics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
[2] Department of Orthopaedics, 158 Base Hospital, Bagdogra, West Bengal, India
[3] Department of Orthoapedics, MGM Medical College, Navi Mumbai, Maharashtra, India
[4] Department of Orthopaedics, Dr D Y Patil School of Medicine, Navi Mumbai, Maharashtra, India.

Address of Correspondence

Dr. Vishal Kumar,
Department of Orthopaedics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
E-mail: drkumarvishal@gmail.com

Abstract

The objective of this systematic review is to evaluate the effectiveness and impact of artificial intelligence (AI)-based applications in the management of back pain, particularly through mobile health solutions. The review examines current AI interventions for their potential to improve pain outcomes, enhance self-management, and increase patient adherence. We conducted a comprehensive literature search across multiple databases, including PubMed, Scopus, and IEEE Xplore, following a rigorous inclusion and exclusion process. Studies were selected based on their focus on AI-enabled mobile applications specifically designed to aid back pain patients, with data extracted on outcomes such as pain reduction, patient engagement, and quality of life improvements. The findings reveal promising results, with many AI applications achieving notable success in pain management and user satisfaction; however, certain limitations, such as user engagement rates and app accessibility, were identified. This review underscores the potential of AI-driven health interventions in personalizing care and improving back pain outcomes, while also highlighting areas for future research, particularly in advancing AI algorithms and expanding access to digital health tools.
Keywords: Artificial intelligence, back pain, mobile health applications, pain management, systematic review, digital health, patient adherence.

References

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How to Cite this Article: Kumar V, Jain M, Gupta A, Vatkar A, Singh A, Singh S, Kale S. Applications of Artificial Intelligence in Back Pain Management: A Systematic Review of Mobile and Digital Health Interventions. Journal of Clinical Orthopaedics. July-December 2025;10(2):34-36.

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Osteoblastoma of the lumbar spine in an adolescent: A case report and review of literature

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Journal of Clinical Orthopaedics | Vol 6 | Issue 2 |  Jul-Dec 2021 | page: 45-48 | Bhushan Sagade, Sarang Rokade, Arjun Dhawale, Abhay Nene

Author: Bhushan Sagade [1], Sarang Rokade [1], Arjun Dhawale [1], Abhay Nene [1]

[1] Department of Paediatric Orthopaedics, Bai Jerbai Wadia Hospital for Children, Parel, Mumbai 400012, India

Address of Correspondence
Dr. Dhawale Arjun A,
Department of Paediatric Orthopaedics, Bai Jerbai Wadia Hospital for Children, Parel, Mumbai 400012, India
E-mail: arjundhawale@hotmail.com

Abstract

Introduction: Osteoblastomas are primary bone tumors representing 1% of all bone tumors and 10% of all spinal osseous neoplasms with a predilection for posterior elements.
Case Report:  A 13-year-old boy with insidious backache for six months presented with progressive radiating paraesthesia and claudication, restricted lumbar motion and positive straight leg test bilaterally with weakness of left ankle dorsiflexion. Radiograph showed an subtle expansile lytic lesion in the L3 posterior elements. CT and MRI revealed a space-occupying lesion of the L3 vertebra lamina, involving the left pedicle causing severe spinal canal stenosis. Excision of the posterior elements of the L3 vertebra including the facet and left pedicle and short segment fixation from L2-L4 using autogenous rib was done.

At two years postoperatively, he was asymptomatic, neurologically normal, showing radiographic evidence of union with no recurrence.
Conclusions: Autogenous structural rib can be used for posterolateral fusion after osteoblastoma excision with potential instability.
Keywords: Osteoblastoma, back pain, rib graft, postero-lateral fusion, en-bloc resection

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8. Ruggieri P, Huch K, Mavrogenis AF, Merlino B, Angelini A. Osteoblastoma of the sacrum: report of 18 cases and analysis of the literature. Spine (Phila Pa 1976). 2014 Jan 15;39(2):E97-E103.
9. Kadhim M, Binitie O, O’Toole P, Grigoriou E, De Mattos CB, Dormans JP. Surgical resection of osteoid osteoma and
osteoblastoma of the spine. J Pediatr Orthop B. 2017 Jul;26(4):362-369.
10. Reynolds JJ, Rothenfluh DA, Athanasou N, Wilson S, Kieser DC. Neoadjuvant denosumab for the treatment of a sacral osteoblastoma. Eur Spine J. 2018 Jul;27(Suppl 3):446-452.

How to Cite this article: Sagade BS, Rokade SN, Dhawale AA, Nene AM. Osteoblastoma of the lumbar spine in an adolescent: A case report and review of literature. Journal of Clinical Orthopaedics Jul-Dec 2021;6(2):45-48.

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