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在糖尿病患者中利用人工智能:系统审查和元分析
Abdullah Alhalafi1, Saif M Alqahtani2, Naif A Alqarni2
1Department of Family and Community Medicine, University of Bisha, Bisha, SAU.
人工智能 (AI) 在糖尿病管理方面表现有前途. 这次审查发现,人工智能干预有利于早期发现糖尿病患者的症状,并为糖尿病患者提供个性化的生活方式建议,改善护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 公共卫生 公共卫生
背景情况:
- 血糖失调的糖尿病,呈现全球健康挑战.
- 有效的糖尿病管理策略对于减轻相关的发病率和死亡率至关重要.
- 新兴的健康技术,包括人工智能,为改善患者的治疗结果提供了潜在的解决方案.
研究的目的:
- 系统地审查和元分析人工智能 (AI) 在治疗糖尿病方面的有效性.
- 评估AI在早期症状检测和糖尿病患者个性化管理中的作用.
- 对标准处理和其他机器学习模型进行AI应用程序的评估.
主要方法:
- 按照PRISMA指南进行系统审查和元分析.
- 在六个数据库 (Web of Science,Google Scholar,PubMed,Cochrane,EMBASE,MEDLINE) 中搜索了2019年1月至2024年2月的研究.
- 分析数据使用关键词与人工智能,糖尿病管理和健康信息学相关.
主要成果:
- 人工智能模型表明,与标准护理相比,更好的症状流行管理趋势更好 (RR 0.98).
- 分组分析表明,人工智能有利于症状检测 (RR 0.97) 和治疗 (RR 0.97).
- 在分析的研究中,一致的结果有利于人工智能干预,异质性最小 (I2 = 0%).
结论:
- 通过早期检测和个性化的建议,人工智能具有提高糖尿病护理的巨大潜力.
- 人工智能干预似乎有效地改善了患者的治疗结果,并优化了糖尿病管理中的治疗疗效.
- 建议在医疗保健环境中扩大人工智能的使用,以彻底改变糖尿病护理并降低健康风险.
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