人工智能技术对慢性病患者的营养护理的影响:系统性审查
Sara Morales Palomares1, Gaetano Ferrara2, Marco Sguanci2
1Department of Pharmacy, Health and Nutritional Sciences (DFSSN), University of Calabria, Rende, Italy; Gruppo Formazione e Ricerca Società Infermieri di Area Nefrologica (SIAN), Olbia, Italy.
概括
人工智能 (AI) 对慢性病 (CKD) 患者的营养进行个性化,改善坚持并减少并发症. 需要进一步的研究来将AI整合到常规CKD护理途径中.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 营养科学 营养科学
- 人工智能的人工智能
背景情况:
- 慢性病 (CKD) 构成了全球健康的重大负担.
- 个性化营养管理是减缓CKD进展和提高患者生活质量的关键.
- 人工智能 (AI) 提供了新的方法来优化和个性化CKD患者的营养护理.
研究的目的:
- 审查AI在慢性病的营养管理中的应用.
- 评估人工智能对临床结果,患者生活质量和医疗保健效率的影响.
- 探索AI在个性化饮食建议和改善患者遵守方面的潜力.
主要方法:
- 按照系统审查和元分析 (PRISMA) 准则的首选报告项目进行了系统审查.
- 在五个主要数据库 (MEDLINE,Embase,Cochrane Library,CINAHL) 和灰色文献中进行了搜索.
- 两位研究人员使用Joanna Briggs研究所的方法独立评估了方法质量.
主要成果:
- 七项研究符合纳入标准,揭示了AI在通过机器学习和生成AI来个性化饮食建议方面的潜力.
- 人工智能系统根据患者数据量身定制了营养,减少了诸如高血症之类的并发症,并改善了坚持.
- 人工智能促进了早期风险检测,主动护理,加强了患者教育,并通过自动化和EHR集成提高了医疗保健效率.
结论:
- 人工智能技术在慢性病中改善营养护理方面显著有前途.
- 证据支持AI在提高护理质量和患者饮食遵守方面的作用.
- 为了在临床实践中验证人工智能技术并促进其融入常规护理,进一步的研究至关重要.
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