Generative Artificial Intelligence in rehabilitation sciences: Opportunity, hype, and the readiness gap in developing and low middle-income countries

Authors

DOI:

https://doi.org/10.33897/fujrs.v6i2.613

Keywords:

Artificial intelligence, Health, Large language models, LMIC, Physical therapy, Rehabilitation

References

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Abdalla N, El Arab RA, Abdrbo A, Almari M, Ayoub MY, Alsaaideh B, et al. Artificial intelligence in rehabilitation: a review of clinical effectiveness, real-world performance, safety, and equity across modalities and settings. Frontiers in Digital Health. 2026;Volume 8 - 2026.

Organization WH. Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance: World Health Organization; 2024.

Aldhahi MI, Alorainy AI, Abuzaid MM, Gareeballah A, Alsubaie NF, Alshamary AS, et al. Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers. Healthcare. 2025;13(4):350.

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Bhattacharyya M, Miller VM, Bhattacharyya D, Miller LE. High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content. Cureus. 2023;15(5):e39238.

Ahmed Z, Bhinder KK, Tariq A, Tahir MJ, Mehmood Q, Tabassum MS, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey. Annals of medicine and surgery (2012). 2022;76:103493.

Adil Z, Aziz K, Shaikh HA, Abbas W, Ahmed T, Khan A. Knowledge and Attitude Regarding Artificial Intelligence Among Physiotherapists: A Cross-Sectional Survey. Journal of Health, Wellness and Community Research. 2025:e33-e.

Rahim N, Nesar S, Hashmi UP, Rasheed A, Majeed S, Noor B, et al. Familiarity, attitude and practice of postgraduate health science students of Pakistan regarding the implication of artificial intelligence in research: an analytical survey. BMC Medical Education. 2026.

APP. HEC makes AI course mandatory for all degree programmes from 2026. DAWN. 2026 19th February 2026.

Published

2026-07-31

How to Cite

Azim, M. E., & Asim, M. (2026). Generative Artificial Intelligence in rehabilitation sciences: Opportunity, hype, and the readiness gap in developing and low middle-income countries. Foundation University Journal of Rehabilitation Sciences, 6(2), 36–38. https://doi.org/10.33897/fujrs.v6i2.613

Issue

Section

Editorial