AIMC Topic: Diabetic Foot

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Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.

Sensors (Basel, Switzerland) Oct 7, 2022
An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essentia...
Artificial Intelligence Temperature Diabetic Foot Humans Pressure Shoes
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A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

Frontiers in endocrinology Aug 8, 2022
BACKGROUND: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has de...
Quality of Life Deep Learning Diabetes Mellitus Neural Networks, Computer Algorithms Diabetic Foot Humans
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Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

Computers in biology and medicine Jun 23, 2021
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detecti...
Research Design Deep Learning Diabetic Foot Diabetes Mellitus Humans Algorithms
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Segmentation Approaches for Diabetic Foot Disorders.

Sensors (Basel, Switzerland) Jan 30, 2021
Thermography enables non-invasive, accessible, and easily repeated foot temperature measurements for diabetic patients, promoting early detection and regular monitoring protocols, that limit the incidence of disabling conditions associated with diabe...
Thermography Foot Diseases Deep Learning Humans Diabetes Mellitus Early Diagnosis Foot Diabetic Foot
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Deep Learning Classification for Diabetic Foot Thermograms.

Sensors (Basel, Switzerland) Mar 22, 2020
According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the most prevalent diseases in the world. It is also associated with a high mortality index. Diabetic foot is one of its main complications, and it comprises the devel...
Artificial Intelligence Machine Learning Humans Diabetic Foot Thermography Deep Learning Support Vector Machine
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Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

Medical engineering & physics Jan 14, 2019
This research addressed the selection of shoe lasts for footwear design to help relieve the pain associated with diabetic neuropathy and foot ulcers. A reverse engineering (RE) technique was used to convert point clouds corresponding to scanned shoe ...
Diabetic Neuropathies Shoes Equipment Design Diabetic Foot Pain Humans Neural Networks, Computer
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Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

IEEE transactions on bio-medical engineering Nov 23, 2016
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...
Colorimetry Algorithms Smartphone Humans Reproducibility of Results Image Interpretation, Computer-Assisted Support Vector Machine Pattern Recognition, Automated Sensitivity and Specificity Mobile Applications Diabetic Foot Severity of Illness Index Photography
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Risk prediction models for patients with recurrent diabetic foot ulcers: A systematic review.

Public health Jul 1, 2025
OBJECTIVES: To systematically review published studies on risk prediction models for patients with recurrent diabetic foot ulcers.
Diabetic Foot Recurrence Humans Risk Assessment Risk Factors China
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Machine Learning Insights Into Amputation Risk: Evaluating Wound Classification Systems in Diabetic Foot Ulcers.

International wound journal Jun 1, 2025
This study compares the performance of various wound classification systems to determine which system most effectively predicts amputation risk in diabetic foot ulcer (DFU) patients. Additionally, it identifies the key clinical and socioeconomic fact...
Diabetic Foot Amputation, Surgical Middle Aged Risk Assessment Female Risk Factors Adult Aged Humans Machine Learning Male Prospective Studies
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KDELR3 and YOD1 proteins as critical endoplasmic reticulum stress mediators and potential therapeutic targets in diabetic foot ulcers: An integrated bioinformatics analysis.

International journal of biological macromolecules Jun 1, 2025
BACKGROUND: Diabetic foot ulcers (DFU) represent one of the most severe complications of diabetes mellitus and are closely associated with persistent hyperglycemia. Endoplasmic reticulum stress response proteins play critical roles in the development...
Humans Computational Biology Diabetic Foot Biomarkers Endoplasmic Reticulum Stress Molecular Docking Simulation
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