Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis
Diabetes mellitus has become one of the major public health problems in India. Chronic nature and the rising epidemic of diabetes have adverse consequences on India’s economy and health status. Recently, machine learning (ML) methods are becoming popular in the healthcare sector. Human medicine is a...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Indian Journal of Endocrinology and Metabolism |
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| Online Access: | https://journals.lww.com/10.4103/ijem.ijem_183_24 |
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| author | Priya Kataria Srivenkata Madhu Madhu K. Upadhyay |
| author_facet | Priya Kataria Srivenkata Madhu Madhu K. Upadhyay |
| author_sort | Priya Kataria |
| collection | DOAJ |
| description | Diabetes mellitus has become one of the major public health problems in India. Chronic nature and the rising epidemic of diabetes have adverse consequences on India’s economy and health status. Recently, machine learning (ML) methods are becoming popular in the healthcare sector. Human medicine is a complex field, and it cannot be solely handled by algorithms, especially diabetes, which is a lifelong multisystem disorder. But ML methods have certain attributes which can make a physician’s job easier and can also be helpful in health system management. This article covers multiple dimensions of using artificial intelligence (AI) for diabetes care under the headings Strengths, Weaknesses, Opportunities, and Threats (SWOT), specifically for the Indian healthcare system with a few examples of the latest studies in India. We briefly discuss the scope of using AI for diabetes care in rural India, followed by recommendations. Identifying the potential and challenges with respect to AI use in diabetes care is a fundamental step to improve the management of disease with best possible use of technology. |
| format | Article |
| id | doaj-art-228ab0ebeed04c29bab56ee055ff3db4 |
| institution | Kabale University |
| issn | 2230-8210 2230-9500 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Endocrinology and Metabolism |
| spelling | doaj-art-228ab0ebeed04c29bab56ee055ff3db42025-01-09T12:22:37ZengWolters Kluwer Medknow PublicationsIndian Journal of Endocrinology and Metabolism2230-82102230-95002024-12-0128656256810.4103/ijem.ijem_183_24Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT AnalysisPriya KatariaSrivenkata MadhuMadhu K. UpadhyayDiabetes mellitus has become one of the major public health problems in India. Chronic nature and the rising epidemic of diabetes have adverse consequences on India’s economy and health status. Recently, machine learning (ML) methods are becoming popular in the healthcare sector. Human medicine is a complex field, and it cannot be solely handled by algorithms, especially diabetes, which is a lifelong multisystem disorder. But ML methods have certain attributes which can make a physician’s job easier and can also be helpful in health system management. This article covers multiple dimensions of using artificial intelligence (AI) for diabetes care under the headings Strengths, Weaknesses, Opportunities, and Threats (SWOT), specifically for the Indian healthcare system with a few examples of the latest studies in India. We briefly discuss the scope of using AI for diabetes care in rural India, followed by recommendations. Identifying the potential and challenges with respect to AI use in diabetes care is a fundamental step to improve the management of disease with best possible use of technology.https://journals.lww.com/10.4103/ijem.ijem_183_24artificial intelligencebioinformaticsdiabetes mellitusdigital healthmachine learningswot analysis |
| spellingShingle | Priya Kataria Srivenkata Madhu Madhu K. Upadhyay Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis Indian Journal of Endocrinology and Metabolism artificial intelligence bioinformatics diabetes mellitus digital health machine learning swot analysis |
| title | Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis |
| title_full | Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis |
| title_fullStr | Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis |
| title_full_unstemmed | Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis |
| title_short | Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis |
| title_sort | role of artificial intelligence in diabetes mellitus care a swot analysis |
| topic | artificial intelligence bioinformatics diabetes mellitus digital health machine learning swot analysis |
| url | https://journals.lww.com/10.4103/ijem.ijem_183_24 |
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