Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support. AI allows a continuous and burden-free remote monitoring of the patient’s symptoms and biomarkers. Further, social media and online communities enhance patient engagement in diabetes care. Technical advances have helped to optimize resource use in diabetes. Together, these intelligent technical reforms have produced better glycemic control with reductions in fasting and postprandial glucose levels, glucose excursions, and glycosylated hemoglobin. AI will introduce a paradigm shift in diabetes care from conventional management strategies to building targeted data-driven precision care.
Artificial intelligence (AI), Diabetes, Machine learning, Management, Prediction
Diabetes, a chronic metabolic condition, is a global health care burden. According to the International Diabetes Federation (IDF), 463 million people between ages 20 and 79 years have diabetes, and 374 million have impaired glucose tolerance.1 By the year 2045, 693 million people are likely to have diabetes.2 While 8.8% of the world population was reported to have diabetes in 2017, the numbers are projected to rise to 10% by 2045.3 Diabetes is associated with various complications and a significant morbidity and mortality.4 It is important to intervene not only to treat but also to prevent and make a timely detection of diabetes. Management of diabetes is challenging because 1 of 2 adults with diabetes are undiagnosed, yet 10% of global health expenditure (US$760 billion) are spent on diabetes.
Artificial intelligence (AI) finds widespread use in four key areas in diabetes care, including automated retinal screening, clinical decision support, predictive population risk stratification, and patient self-management tools.5,6 The purpose of this review is to provide an overview of the scope and utility of AI in the prevention, diagnosis, and treatment of diabetes.
AI is attracting attention for the management of diabetes. AI enables us to rethink diabetes and redefine the strategies for prevention and management of diabetes. AI supports the development of prediction models to estimate the risk of diabetes and its related complications. This will help to bring in an element of personalized care in the management of diabetes. Patients are now being empowered to manage their own health and physicians can provide a timely and targeted intervention through technical platforms. These advances save time and cost because data can be collected remotely and virtual management is replacing the routine visits to a clinic. AI has introduced a quantum change in diabetes care and will continue to evolve. Going further, broader experience generated from the continuous use of AI will help to standardize the functionality and utility in diabetes care.
The Kavian Scientific Research Association (KSRA) is a non-profit research organization to provide research / educational services in December 2013. The members of the community had formed a virtual group on the Viber social network. The core of the Kavian Scientific Association was formed with these members as founders. These individuals, led by Professor Siavosh Kaviani, decided to launch a scientific / research association with an emphasis on education.
KSRA research association, as a non-profit research firm, is committed to providing research services in the field of knowledge. The main beneficiaries of this association are public or private knowledge-based companies, students, researchers, researchers, professors, universities, and industrial and semi-industrial centers around the world.
Our main services Based on Education for all Spectrum people in the world. We want to make an integration between researches and educations. We believe education is the main right of Human beings. So our services should be concentrated on inclusive education.
The KSRA team partners with local under-served communities around the world to improve the access to and quality of knowledge based on education, amplify and augment learning programs where they exist, and create new opportunities for e-learning where traditional education systems are lacking or non-existent.
FULL Paper PDF file:diabetes care
Artificial Intelligence: The Future for Diabetes Care
The American Journal of Medicine (2020) 133:895−900
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Nasim Gazerani was born in 1983 in Arak. She holds a Master's degree in Software Engineering from UM University of Malaysia.
Professor Siavosh Kaviani was born in 1961 in Tehran. He had a professorship. He holds a Ph.D. in Software Engineering from the QL University of Software Development Methodology and an honorary Ph.D. from the University of Chelsea.
Somayeh Nosrati was born in 1982 in Tehran. She holds a Master's degree in artificial intelligence from Khatam University of Tehran.