人工智能和现场衰老:对当前应用和未来方向的全面审查
Sojung Park1, Eunhye Ahn1, Tae-Hyuk Ahn2
1Brown School of Social Work, Washington University in Saint Louis, St. Louis, MO, USA.
The Gerontologist
|April 17, 2025
概括
人工智能 (AI) 可以支持现场衰老 (AIP),但研究需要整合社会和环境因素. 未来的研究应该确保人工智能能够公平地使不同老龄化人口受益.
科学领域:
- 老年学是一门学科.
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 现场老龄化 (AIP) 对于老年人的独立性至关重要.
- 人工智能 (AI) 显示了支持AIP的潜力.
- 有限的研究探讨了AI在AIP的非临床应用.
研究的目的:
- 在AIP研究中探索人工智能的当前景观.
- 确定AI应用程序,解决临床环境之外的AIP的健康和社会方面.
主要方法:
- 32项实证研究的范围审查.
- 分析了来自PsycINFO,CINAHL,MEDLINE和PubMed的研究.
- 在AIP中确定与AI相关的关键主题.
主要成果:
- 出现了五个主要主题:健康,社会包容,活跃老龄化,医疗保健和公共卫生.
- 研究往往缺乏环境/上下文因素的整合.
- 理论框架的有限使用和AI偏见等未被探索的伦理问题.
结论:
- 未来的研究必须在不同的人群中验证人工智能模型.
- 综合社会和环境因素对于有效的AIP干预至关重要.
- 需要公平的AI支持的政策来增强所有老年人的AIP.
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