{"title":"Artificial intelligence in diabetes management: transformative potential, challenges, and opportunities in healthcare.","authors":"Arnabjyoti Deva Sarma, Moitrayee Devi","doi":"10.1007/s42000-025-00644-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes, a chronic metabolic disorder characterized by ineffective blood sugar regulation, affects millions of people worldwide, with its prevalence projected to more than double in the next 30 years. Diabetes-related complications are severe and sometimes life-threatening, including cardiovascular disease, kidney failure, and blindness, this posing a significant challenge, especially in low- and middle-income countries. This study explored the integration of artificial intelligence (AI) into diabetes management, emphasizing its transformative potential in healthcare.</p><p><strong>Objectives: </strong>To evaluate the role of AI in enhancing diabetes management and to identify the challenges and opportunities associated with its implementation.</p><p><strong>Methods: </strong>A systematic review following the PRISMA guidelines was conducted by analyzing the literature published from January 2020 to May 2024. This review focused on the application of AI in diabetes diagnosis, personalization of treatment, and predictive analytics.</p><p><strong>Results: </strong>The ability of AI to analyze large datasets and identify complex patterns shows promise in improving diabetes management. AI-assisted diagnostic tools enhance diagnostic accuracy, enable early detection, and support personalized treatment plans, thereby reducing human error. AI has also facilitated research breakthroughs in genomics and drug discovery. Furthermore, AI-powered predictive analytics enhances clinical decision-making and supports precision medicine. Despite these advancements, challenges remain in such issues as data quality, technical infrastructure, and ethical considerations, emphasizing the need for responsible AI development that focuses on patient privacy and transparency.</p><p><strong>Conclusions: </strong>AI has significant potential to revolutionize diabetes management and healthcare delivery. Combining AI's analytical processes with clinical expertise can substantially improve the quality of care. Addressing data, technology, and ethical challenges is crucial for fully harnessing AI's potential, thereby enhancing patient well-being and healthcare outcomes.</p>","PeriodicalId":50399,"journal":{"name":"Hormones-International Journal of Endocrinology and Metabolism","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hormones-International Journal of Endocrinology and Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s42000-025-00644-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
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Abstract
Background: Diabetes, a chronic metabolic disorder characterized by ineffective blood sugar regulation, affects millions of people worldwide, with its prevalence projected to more than double in the next 30 years. Diabetes-related complications are severe and sometimes life-threatening, including cardiovascular disease, kidney failure, and blindness, this posing a significant challenge, especially in low- and middle-income countries. This study explored the integration of artificial intelligence (AI) into diabetes management, emphasizing its transformative potential in healthcare.
Objectives: To evaluate the role of AI in enhancing diabetes management and to identify the challenges and opportunities associated with its implementation.
Methods: A systematic review following the PRISMA guidelines was conducted by analyzing the literature published from January 2020 to May 2024. This review focused on the application of AI in diabetes diagnosis, personalization of treatment, and predictive analytics.
Results: The ability of AI to analyze large datasets and identify complex patterns shows promise in improving diabetes management. AI-assisted diagnostic tools enhance diagnostic accuracy, enable early detection, and support personalized treatment plans, thereby reducing human error. AI has also facilitated research breakthroughs in genomics and drug discovery. Furthermore, AI-powered predictive analytics enhances clinical decision-making and supports precision medicine. Despite these advancements, challenges remain in such issues as data quality, technical infrastructure, and ethical considerations, emphasizing the need for responsible AI development that focuses on patient privacy and transparency.
Conclusions: AI has significant potential to revolutionize diabetes management and healthcare delivery. Combining AI's analytical processes with clinical expertise can substantially improve the quality of care. Addressing data, technology, and ethical challenges is crucial for fully harnessing AI's potential, thereby enhancing patient well-being and healthcare outcomes.
期刊介绍：
Hormones-International Journal of Endocrinology and Metabolism is an international journal published quarterly with an international editorial board aiming at providing a forum covering all fields of endocrinology and metabolic disorders such as disruption of glucose homeostasis (diabetes mellitus), impaired homeostasis of plasma lipids (dyslipidemia), the disorder of bone metabolism (osteoporosis), disturbances of endocrine function and reproductive capacity of women and men.
Hormones-International Journal of Endocrinology and Metabolism particularly encourages clinical, translational and basic science submissions in the areas of endocrine cancers, nutrition, obesity and metabolic disorders, quality of life of endocrine diseases, epidemiology of endocrine and metabolic disorders.
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