医学中的可持续人工智能:导航创新,挑战和环境影响
Elena Bignami1, Luigino Jalale Darhour2, Valentina Bellini2
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, Parma, 43126, Italy. elenagiovanna.bignami@unipr.it.
Health economics review
|December 30, 2025
概括
医疗保健中的人工智能 (AI) 提供了效率,但也带来了环境成本. 采用绿色人工智能战略对于可持续的医疗保健创新至关重要.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 环境科学 环境科学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变医疗保健,提高效率和患者的治疗结果.
- 然而,人工智能的计算需求导致了重大的环境成本,包括能源消耗和排放.
- 绿色人工智能概念强调可持续发展和在医疗保健中实施人工智能.
研究的目的:
- 分析人工智能在医疗保健中的环境影响.
- 探索减轻AI在医疗环境中的生态足迹的策略.
- 突出AI在支持医疗保健可持续性的潜力.
主要方法:
- 审查与医疗保健中的AI相关的能源消耗,二氧化碳排放和资源使用情况.
- 检查能源监测,生命周期评估和循环经济原则等战略.
- 调查促进可持续发展的AI应用,例如远程医疗和废物管理.
主要成果:
- 在医疗保健中采用人工智能需要大量的计算资源,导致环境负担.
- 医疗机构可以实施绿色人工智能实践,包括能源效率措施和循环方法.
- 人工智能也可以被利用来提高医疗保健运营和医疗保健的可持续性.
结论:
- 将AI整合到医学中需要仔细考虑其对环境的影响.
- 标准化监测,高效设计和循环资源管理是医疗保健中可持续人工智能的关键.
- 未来的研究应该专注于环境权衡和促进公平,可持续的AI.
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