Osteopathy educators' and researchers; perspectives on artificial intelligence in academia: A cross-sectional study

Mhadhbi, Hakim, Draper-Rodi, J, Consorti, Giacomo, Ferreira, A P A, Horta, L, Rinne, S, Vaucher, P and Ménard, M (2025) Osteopathy educators' and researchers; perspectives on artificial intelligence in academia: A cross-sectional study. International Journal of Osteopathic Medicine, 57. ISSN 1746-0689

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Abstract

Background Artificial intelligence (AI) is increasingly being integrated into healthcare education and research, yet little is known about how AI is perceived within osteopathy. To the best of our knowledge, this is the first cross-sectional study to examine AI perspectives specifically among osteopathic educators and researchers, providing fresh insights into technology adoption within this healthcare discipline. Methods A cross-sectional survey was conducted between December 2023 and February 2024 among osteopathic educators and/or researchers through snowball sampling. The survey collected data on AI-related knowledge, usage in educational and research contexts, attitudes toward AI, perceived risks, and necessities challenges. Principal Component Analysis (PCA) was used to validate the structure of the survey. Demographic factors such as age, gender, occupation, and academic qualifications were analysed in relation to scores. Results 190 respondents from 18 countries completed the survey. Participants demonstrated positive attitudes toward the role of AI in education and research, but acknowledged limited proficiency in its use. Usage of AI was higher among younger, male participants, with AI primarily used for personal organisation and research. Concerns about AI included risks of bias, over-reliance on technology, and potential replacement of human judgment. Participants with educational roles expressed fewer concerns about AI's risks compared to those outside of education. Knowledge of AI was not correlated with demographic factors, but attitudes and concerns about risks varied with age. Conclusion Osteopathic educators and researchers view AI as a beneficial tool for teaching and research, but face challenges in its effective implementation due to concerns about technology replacing human expertise and biases. Training, institutional support, and ethical guidelines are essential to foster the responsible integration of AI in osteopathy.

Item Type:	Article
Schools:	UCO School of Osteopathy
Depositing User:	Bridget Roberts
Date Deposited:	21 May 2026 08:42
Last Modified:	21 May 2026 08:42
URI:	https://hsu.repository.guildhe.ac.uk/id/eprint/642

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