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 and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise in diabetes care. The purpose of this article is to better understand what AI advances may be relevant today to persons with diabetes (PWDs), their clinicians, family, and caregivers. The authors conducted a predefined, online PubMed search of publicly available sources of information from 2009 onward using the search terms “diabetes” and “artificial intelligence.” The study included clinically-relevant, high-impact articles, and excluded articles whose purpose was technical in nature. A total of 450 published diabetes and AI articles met the inclusion criteria. The studies represent a diverse and complex set of innovative approaches that aim to transform diabetes care in 4 main areas: automated retinal screening, clinical decision support, predictive population risk stratification, and patient self-management tools. Many of these new AI-powered retinal imaging systems, predictive modeling programs, glucose sensors, insulin pumps, smartphone applications, and other decision-support aids are on the market today with more on the way. AI applications have the potential to transform diabetes care and help millions of PWDs to achieve better blood glucose control, reduce hypoglycemic episodes, and reduce diabetes comorbidities and complications. AI applications offer greater accuracy, efficiency, ease of use, and satisfaction for PWDs, their clinicians, family, and caregivers.

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Blacks in the US experience increased mortality (1113 versus 745 per 100,000 males; 631 versus 411 per 100,000 females) and decreased life expectancy (63.7 years versus 70.7 years for males; 72.3 years versus 78.1 years for females); compared to Whites. In an effort to determine if the excess mortality among Black Americans might be explained by differences in access or quality of health care services, we performed a race-specific analysis of conditions for which mortality is largely avoidable given timely and appropriate medical care. Using methodology proposed by Rutstein and Charlton, mortality due to 12 causes was evaluated including tuberculosis, cervical cancer, Hodgkin's disease, rheumatic heart disease, hypertensive heart disease, acute respiratory disease, pneumonia and bronchitis, influenza, asthma, appendicitis, hernias and cholecystitis. In the US, during 1980 to 1986, an average of 17,366 deaths and 286,813 years of potential life (YPLL) before age 65 were lost each year due to all 12 sentinel causes combined. Of these causes, hypertensive heart disease, pneumonia and bronchitis, cervical cancer and asthma accounted for the greatest number of deaths. The mortality rate for all 12 causes combined among Blacks was 4.5 times that of Whites. The highest relative rates among Blacks compared to Whites were observed for tuberculosis, hypertensive heart disease and asthma. The overall mortality rate in the District of Columbia for the selected causes was 3.7 times the national rate. Compared to national rates, statistically significant elevated rates in the District were observed for tuberculosis, hypertensive heart disease and pneumonia and bronchitis.(ABSTRACT TRUNCATED AT 250 WORDS)

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While the findings confirm positive changes, the amount of curricula time and the number of faculty having expertise in substance abuse education do not compare well with the amounts of time and numbers of faculty involved in clinical problems of similar prevalence, such as cancer and heart disease.