Artificial Intelligence Driving Diabetes Care

Aishwarya Sadagopan
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Abstract

Artificial intelligence (AI), a technology reshapinghealthcare, is used to investigate, gather data and drawconclusions from electronic medical records andimaging procedures. AI has been shown to aid inidentifying, categorizing, diagnosing, and managingdiabetic mellitus [1]. It will likely continue to do so witha clear understanding and the ability to find previouslyunidentified solutions [2]. AI has a role in diabeteshelping to anticipate the diagnosis, provide nutritionand exercise goals, monitor complications, and assistwith self-management [7]. We may now see themanagement of diabetes and other chronic diseasesfrom a new viewpoint thanks to the expanded use ofcontinuous glucose monitoring and the identification ofpatterns in glucose fluctuation known as glucosevariability [3]. It has paved the way for in-depthresearch into the many new factors that affectmanaging diabetes such as socio-economic factors,sleep, and activity [1,2]
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人工智能驱动糖尿病护理
人工智能(AI)是一种重塑医疗保健的技术,用于调查、收集数据并从电子病历和成像程序中得出结论。人工智能已被证明有助于糖尿病的识别、分类、诊断和管理[1]。它很可能会继续这样做,因为它有清晰的理解和找到以前未知的解决方案的能力[2]。人工智能在糖尿病中的作用是帮助预测诊断,提供营养和运动目标,监测并发症,并协助自我管理[7]。由于持续血糖监测的广泛使用和葡萄糖波动模式的识别,我们现在可以从一个新的角度来看待糖尿病和其他慢性疾病的管理[3]。它为深入研究影响糖尿病管理的许多新因素铺平了道路,如社会经济因素、睡眠和活动[1,2]
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