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Diabetic wounds and artificial intelligence: A mini-review.
Samabia Tehsin1, Sumaira Kausar2, Amina Jameel3
1Computer Science, Bahria University, Karachi 75260, Sindh, Pakistan. samabiatehsin.bukc@bahria.edu.pk.
World Journal of Clinical Cases
|January 23, 2023
Summary
Artificial intelligence (AI) offers new ways to diagnose and treat diabetic wounds, improving patient outcomes. This review explores AI
Area of Science:
- Computational science
- Medical science
- Artificial intelligence
Background:
- Diabetic wounds, particularly foot ulcers, exhibit delayed healing due to vascular complications, increasing infection and amputation risks.
- Effective management of diabetic wounds is crucial for improving patient quality of life.
Purpose of the Study:
- To review diagnostic and treatment research for diabetic wound healing utilizing artificial intelligence (AI) and computational science.
- To present a framework for diabetic wound assessment using AI.
- To highlight AI's current and potential contributions to diabetic wound patient care.
Main Methods:
- Review of existing research on AI and computational science applications in diabetic wound healing.
- Development of a framework for AI-driven diabetic wound assessment.
Main Results:
- AI demonstrates significant potential in enhancing the diagnosis, prognosis, and treatment of diabetic wounds.
- A framework for AI-based diabetic wound assessment has been proposed.
Conclusions:
- AI integration in medical science can significantly improve the management of diabetic wounds.
- Future research directions aim to further leverage AI for enhanced clinician and patient support in diabetic wound care.
