智能老龄化:将人工智能整合到老年人医疗保健中
Claudio Tana1, Carmine Siniscalchi2, Nicoletta Cerundolo2
1Internal Medicine Unt, Eastern Hospital, ASL Taranto, Italy. claudio.tana@yahoo.it.
BMC geriatrics
|December 16, 2025
概括
人工智能 (AI) 通过改进诊断和患者管理来增强老年医疗保健. 负责任的AI整合是克服挑战和改善老年人的结果的关键.
科学领域:
- 老年医学 老年医学
- 医疗信息学 医疗信息学
- 医疗卫生技术 技术 技术
背景情况:
- 人口老龄化带来了复杂的医疗保健挑战,包括脆弱性,多病症和多药性.
- 传统的医疗保健模式在解决老年人的独特需求方面存在局限性.
- 人工智能 (AI) 为改善老年医疗保健提供了潜在的解决方案.
研究的目的:
- 提供人工智能在老年医学中的应用的全面概述.
- 讨论人工智能整合到老年护理中的好处和局限性.
- 探索人工智能在支持健康衰老方面的未来方向.
主要方法:
- 对老年医疗保健当前的人工智能技术的审查,包括机器学习 (ML) 算法,预测分析和机器人.
- 分析AI在疾病检测,患者管理和临床决策中的作用.
- 检查与人工智能实施相关的挑战和伦理考虑.
主要成果:
- 人工智能工具展示了个性化医疗,增强诊断准确度和简化医疗管理的潜力.
- 人工智能可以帮助预防跌倒,评估脆弱性和管理老年人的复杂情况.
- 关键的挑战包括数据隐私,算法偏见,道德问题和数字素养差距.
结论:
- 负责任的AI整合可以显著改善患者的治疗结果,减少再入院,并支持现场衰老.
- 应对挑战需要跨学科的合作,政策制定和多样化的数据集,以确保公平的护理.
- 人工智能应该补充,而不是取代老年医疗环境中的人类临床专业知识.
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