Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI

Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI

BackgroundDiabetic foot is a common and debilitating complication of diabetes that significantly impacts patients’ quality of life and frequently leads to amputation. In parallel, artificial intelligence (AI), particularly machine learning (ML), has emerged as a powerful tool in healthcare, offering...

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Bibliographic Details
Main Authors: Pei-Chun Lin, Tsai-Chung Li, Tzu-Hsuan Huang, Ying-Lin Hsu, Wen-Chao Ho, Jia-Lang Xu, Ching-Liang Hsieh, Zih-En Jhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
Subjects:
diabetic foot
machine learning
thermal imaging
clinical data analysis
internet of things
artificial intelligence in healthcare
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1613946/full
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