人工智能用于糖尿病患者的个性化医学:叙述性审查
Kaushik Ghosh1, Sudip Chandra2, Sonali Ghosh3
1Medicine, Murshidabad Medical College and Hospital, Berhampore, IND.
人工智能 (AI) 精准医学为印度的2型糖尿病 (T2DM) 管理提供了个性化的护理. 这种方法提高了治疗效率,患者自我管理,并预防并发症,降低了医疗保健成本.
科学领域:
- 内分泌学 在内分泌学.
- 医疗信息学 医疗信息学
- 基因组学就是基因组学.
背景情况:
- 糖尿病是一种慢性代谢疾病,其特征是高血糖,导致严重的发病率,死亡率和经济负担.
- 印度多元人口中的2型糖尿病 (T2DM) 管理面临着独特的挑战,需要个性化的方法.
研究的目的:
- 检查人工智能 (AI) 启动的精密医学在优化T2DM管理中的作用.
- 审查基于人工智能的平台,整合多维数据,以提供量身定制的糖尿病护理.
主要方法:
- 对现有的基于人工智能的糖尿病治疗平台进行了详尽的审查.
- 分析的重点是将遗传,表观遗传,表型和环境数据集成为个性化医学.
主要成果:
- 人工智能驱动的精准医学可以实现个性化的血糖预测,量身定制的治疗干预措施和并发症监测.
- 人工智能应用程序有助于患者遵守基于证据的自我管理行为,如饮食,运动和持续的葡萄糖监测.
- 以患者为中心的AI策略提高了临床疗效,预防了长期并发症,并减少了医疗保健支出.
结论:
- 人工智能启动的精准医学显示出在印度加强T2DM管理方面的重大前景.
- 进一步的纵向多中心试验是必要的,以验证跨多种人群的AI算法,并改善临床翻译.
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