Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.
作者： Irene Dankwa-Mullan , Marc Rivo , Marisol Sepulveda , Yoonyoung Park , Jane Snowdon
关键词: Artificial pancreas 、 Inclusion (disability rights) 、 Clinical decision support system 、 Cognitive computing 、 Diabetes mellitus 、 Population Risk 、 Medicine 、 Usability 、 Artificial intelligence 、 Applications of artificial intelligence
摘要: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed untreated. Applications artificial intelligence (AI) cognitive computing offer promise diabetes care. The purpose this article is to better understand what AI advances may be relevant today with (PWDs), their clinicians, family, caregivers. authors conducted a predefined, online PubMed search publicly available sources information from 2009 onward using terms "diabetes" "artificial intelligence." study included clinically-relevant, high-impact articles, excluded articles whose was technical nature. A total 450 published met inclusion criteria. studies represent diverse complex set innovative approaches that aim transform care 4 main areas: automated retinal screening, clinical decision support, predictive population risk stratification, patient self-management tools. Many these new AI-powered imaging systems, modeling programs, glucose sensors, insulin pumps, smartphone applications, other decision-support aids are on market more way. applications potential help millions PWDs achieve blood control, reduce hypoglycemic episodes, comorbidities complications. greater accuracy, efficiency, ease use, satisfaction PWDs,
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