Abstract
Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, offering both promising opportunities and notable risks. The infancy and rapid development of GenAI raises questions regarding its effective, safe, and ethical use by health professionals, including clinical exercise physiologists. This narrative review aims to explore existing interdisciplinary literature and summarise the ethical and practical considerations of integrating GenAI into clinical exercise physiology practice. Specifically, it examines the ‘promises’ of improved exercise programming and healthcare delivery, as well as the ‘perils’ related to data privacy, person-centred care, and equitable access. Recommendations for the responsible integration of GenAI in clinical exercise physiology are described, in addition to recommendations for future research to address gaps in knowledge. Future directions, including the roles and responsibilities of specific stakeholder groups are discussed, highlighting the need for clear professional guidelines in facilitating safe and ethical deployment of GenAI into clinical exercise physiology practice. Synthesis of current literature serves as an essential step in guiding strategies to ensure the safe, ethical, and effective integration of GenAI in clinical exercise physiology, providing a foundation for future guidelines, training, and research to enhance service delivery while maintaining high standards of practice.
Document Type
Journal Article
Date of Publication
12-1-2025
Volume
17
Issue
1
School
Exercise Medicine Research Institute / School of Medical and Health Sciences
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publisher
Springer
Identifier
Nicolas H. Hart: https://orcid.org/0000-0003-2794-0193
Recommended Citation
Lederman, O., Llana, A., Murray, J., Stanton, R., Chugh, R., Haywood, D., Burdett, A., Warman, G., Walker, J., & Hart, N. H. (2025). Promises and perils of generative artificial intelligence: A narrative review informing its ethical and practical applications in clinical exercise physiology. DOI: https://doi.org/10.1186/s13102-025-01182-7
Comments
Lederman, O., Llana, A., Murray, J., Stanton, R., Chugh, R., Haywood, D., Burdett, A., Warman, G., Walker, J., & Hart, N. H. (2025). Promises and perils of generative artificial intelligence: A narrative review informing its ethical and practical applications in clinical exercise physiology. BMC Sports Science Medicine and Rehabilitation, 17. https://doi.org/10.1186/s13102-025-01182-7