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Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead
Rohit Parab1, Jenna M Feeley2, Maria Valero3
1Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia.
Summary
Artificial intelligence (AI) is revolutionizing diabetes care by improving diagnosis and treatment. These AI applications enhance patient outcomes and quality of life, offering personalized care pathways.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Medicine
Background:
- Artificial intelligence (AI) is significantly impacting clinical medicine, particularly in diabetes management.
- AI enhances diagnostic accuracy and treatment strategies, aiming to reduce patient burden and improve quality of life.
Purpose of the Study:
- To review the latest AI applications in diabetes care.
- To explore the capabilities, limitations, and future directions for AI in routine diabetes practice.
Main Methods:
- Comprehensive literature search of PubMed, Google Scholar, and ScienceDirect.
- Inclusion of emerging approaches from author research programs.
- Synthesis of key findings to identify trends, applications, and outcomes.
Main Results:
- AI and machine learning (ML) improve screening for diabetes complications (retinopathy, neuropathy).
- AI enhances clinical decision support for diagnosis, prognosis, and treatment optimization.
- Emerging AI solutions include noninvasive biomarker identification, meal analysis, risk prediction integration, and automated insulin delivery.
Conclusions:
- AI advancements promise streamlined patient care and personalized treatment plans.
- AI has the potential to significantly improve clinical outcomes for individuals with diabetes.
Keywords:
artificial intelligenceautomated insulincontinuous glucose monitoringdeliverydiabetesmachine learningtechnologyMore Related Videos
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