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生成型人工智能的承诺和危险:一篇叙述性综述,介绍其在临床运动生理学中的伦理和实际应用
Oscar Lederman1,2, Alessandro Llana3, James Murray3
1Human Performance Research Centre, School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, Australia. oscar.lederman@uts.edu.au.
BMC sports science, medicine & rehabilitation
|May 26, 2025
概括
生成型人工智能 (GenAI) 在临床运动生理学中提供了好处和风险. 负责任的整合需要明确的指导方针,以安全,道德和有效地在医疗保健中使用GenAI.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 临床运动生理学 临床运动生理学
- 人工智能伦理学 人工智能伦理学
背景情况:
- 生成型人工智能 (GenAI) 正在迅速发展,影响着医疗保健的提供.
- 它的整合到临床运动生理学实践中,既带来了机遇,也带来了挑战.
- 对于卫生专业人员来说,道德和实践方面的考虑至关重要.
研究的目的:
- 探索临床运动生理学中关于GenAI的跨学科文献.
- 总结GenAI整合的伦理和实际考虑因素.
- 为负责的GenAI部署提供建议.
主要方法:
- 现有文献的叙述性审查.
- 对GenAI在运动生理学中的潜在好处和风险的分析.
- 伦理和实际影响的综合.
主要成果:
- 基因人工智能承诺加强炼计划和医疗保健服务.
- 风险包括数据隐私问题,对以人为本的护理的影响以及公平的访问.
- 确定了专业指南和进一步研究的需要.
结论:
- 在临床运动生理学中,负责任的GenAI集成至关重要.
- 需要明确的指导方针,培训和研究,以确保安全有效的部署.
- 将创新与伦理实践相平衡,对于高标准的护理至关重要.
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