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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Indian Journal of Endocrinology and Metabolism |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/ijem.ijem_183_24 |
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| Summary: | 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. |
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| ISSN: | 2230-8210 2230-9500 |