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

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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4. Marcuzzi A, Nordstoga AL, Bach K, Aasdahl L, Nilsen TI, Bardal EM, et al. Effect of an artificial intelligence-based self-management app on musculoskeletal health in patients with neck and/or low back pain referred to specialist care: A randomized clinical trial. JAMA Netw Open 2023;6:e2320400.
5. Zhang M, Zhu L, Lin SY, Herr K, Chi CL, Demir I, et al. Using artificial intelligence to improve pain assessment and pain management: A scoping review. J Am Med Inform Assoc 2023;30:570-87.
6. Nordstoga AL, Aasdahl L, Sandal LF, Dalager T, Kongsvold A, Mork PJ, et al. The role of pain duration and pain intensity on the effectiveness of app-delivered self-management for low back pain (selfBACK): Secondary analysis of a randomized controlled trial. JMIR MHealth UHealth 2023;11:e40422.
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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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A systematic review and meta-analysis: Postoperative outcome comparison of intramedullary nailing and external fixation in charcot neuroarthropathy

Journal of Clinical Orthopaedics | Vol 7 | Issue 1 |  Jan-Jun 2022 | page: 60-63 | Cok Gde Oka Dharmayuda, Dewa Gede Bracika, Kenji Arnaya, Sri Mahadana, Putu Teguh Aryanugraha, Benedictus Deriano, Nariswati Anggapadmi Wiraputri, I Ketut Gede Surya Pranata

DOI:10.13107/jcorth.2022.v07i01.473


Author: Cok Gde Oka Dharmayuda [1], Dewa Gede Bracika [2], Kenji Arnaya [2], Sri Mahadana [2], Putu Teguh Aryanugraha [2], Benedictus Deriano [2], Nariswati Anggapadmi Wiraputri [2], I Ketut Gede Surya Pranata [2]

[1] Consultant of Orthopaedic and Traumatogy Department, Faculty of Medicine Udayana University, Indonesia.

[2] Resident of Orthopaedic and Traumatogy Department, Faculty of Medicine Udayana University, Indonesia.

Address of Correspondence
Dr. Cok Gde Oka Dharmayuda,
Diponegoro St., Dauh Puri Klod, Kec. Denpasar Bar., Kota Denpasar, Bali 80113, Indonesia.
E-mail: suthenoandrew@gmail.com


Abstract

Charcot neuropathic osteoarthropathy or neuroarthropathy of the foot and ankle is due to sensory and motor neuropathies which lead to a chronic and progressive destruction of the foot architecture involving bones, joints, and soft tissues. The aim of the present study was to compare the results of EF and retrograde IMN in ankle arthrodesis for patients with Charcot neuroarthropathy of the ankle joint. This study conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement. Literature Search was done on using the databases of PubMed, EMBASE, and Cochrane Library were systematically retrieved. From the selected databases, 205 references were obtained. By screening the titles and abstracts, 48 references were excluded The remaining potentially relevant 12 studies underwent a detailed and comprehensive evaluation. Finally, five studies were included in our meta-analysis. Based on the report in this meta-analysis, IMN could showed better results compared to EF for Charcot joint arthrodesis, with IMN showing higher rate of fusion, and lesser risk of complication.

Keywords: Systematic Review, Meta-analysis, Charcot Neuroarthropathy, Intramedullary Nailing, External Fixation


References

  1. Yammine K, Assi C. Intramedullary nail versus external fixator for ankle arthrodesis in Charcot neuroarthropathy: A meta-analysis of comparative studies. J Orthop Surg (Hong Kong) 2019;27:1-7.
  2. Cianni L, Bocchi MB, Vitiello R, Greco T, de Marco D, Masci G, et al. Arthrodesis in the Charcot foot: A systematic review. Orthop Rev (Pavia) 2020;12 Suppl 1:8670.
  3. Dayton P, Feilmeier M, Thompson M, Whitehouse P, Reimer RA. Comparison of complications for internal and external fixation for charcot reconstruction: A systematic review. J Foot Ankle Surg 2015;54:1072-5.
  4. Almaadany FS, Samadov E, Namazov I, Jafarova S, Ramshorst GH, Pattyn P, et al. Mortality and pulmonary complications in patients undergoing surgery with perioperative sars-cov-2 infection: An international cohort study. Lancet 2020;396:27-38.
  5. Devries JG, Berlet GC, Hyer CF. A retrospective comparative analysis of charcot ankle stabilization using an intramedullary rod  with or without application of circular external fixator-utilization of the retrograde arthrodesis intramedullary nail database. J  Foot Ankle Surg 2012;51:420-5.
  6. Ettinger S, Plaass C, Claassen L, Stukenborg-Colsman C, Yao D, Daniilidis K. Surgical management of charcot deformity for the  Foot and ankle-radiologic outcome after internal/external fixation. J Foot Ankle Surg 2016;55:522-8.
  7. Richman J, Cota A, Weinfeld S. Intramedullary nailing and external ring fixation for tibiotalocalcaneal arthrodesis in charcot arthropathy. Foot Ankle Int 2017;38:149-52.
  8. Elalfy B, Ali AM, Fawzy SI. Ilizarov external fixator versus retrograde intramedullary nailing for ankle joint arthrodesis in diabetic charcot neuroarthropathy. J Foot Ankle Surg 2017;56:309-13.

 

How to Cite this article: Dharmayuda CGO, Bracika DG, Arnaya K, Mahadana S, Aryanugraha PT, Deriano B, Wiraputri NA, Pranata IKGS. A systematic review and meta-analysis: Postoperative outcome comparison of intramedullary nailing and external fixation in charcot neuroarthropathy. Journal of Clinical Orthopaedics Jan-Jun 2022;7(1):60-63.

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