Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology

被引：0

作者：

Lederman, Oscar ^{[1
,2
]}

Llana, Alessandro ^{[1
]}

Murray, James ^{[1
]}

Stanton, Robert ^{[3
]}

Chugh, Ritesh ^{[4
]}

Haywood, Darren ^{[1
,5
]}

Burdett, Amanda ^{[1
]}

Warman, Geoff ^{[1
,3
]}

Walker, Joanne ^{[1
]}

Hart, Nicolas H. ^{[1
,6
]}

机构：

[1] Univ Technol Sydney UTS, Fac Hlth, Human Performance Res Ctr, Sch Sport Exercise & Rehabil, Sydney, NSW, Australia

[2] Univ New South Wales, Sch Clin Med, Discipline Psychiat & Mental Hlth, Sydney, NSW, Australia

[3] Cent Queensland Univ, Sch Hlth Med & Appl Sci, Rockhampton, Qld, Australia

[4] Cent Queensland Univ, Sch Engn & Technol, Melbourne, Vic, Australia

[5] St Vincents Hosp Melbourne, Dept Mental Hlth, Fitzroy, Vic, Australia

[6] Edith Cowan Univ, Exercise Med Res Inst, Sch Med & Hlth Sci, Perth, WA, Australia

来源：

BMC SPORTS SCIENCE MEDICINE AND REHABILITATION | 2025年 / 17卷 / 01期

关键词：

Artificial intelligence; Generative artificial intelligence; ChatGPT; Clinical exercise physiology; Healthcare; Narrative review; PRESCRIPTION; SPORTS;

D O I：

10.1186/s13102-025-01182-7

中图分类号：

R49 [康复医学];

学科分类号：

100215 ;

摘要：

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.

引用

页数：11

共 63 条

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