[HTML][HTML] Artificial intelligence methodologies applied to technologies for screening, diagnosis and care of the diabetic foot: A narrative review
Diabetic foot syndrome is a multifactorial pathology with at least three main etiological
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
The impact of machine learning on the prediction of diabetic foot ulcers–a systematic review.
T Weatherall, P Avsar, L Nugent, Z Moore… - Journal of Tissue …, 2024 - Elsevier
Introduction Globally, diabetes mellitus poses a significant health challenge as well as the
associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early …
associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early …
[HTML][HTML] Artificial Intelligence-Based Digital Biomarkers for Type 2 Diabetes: A Review
Type 2 diabetes mellitus (T2DM), a complex metabolic disorder that burdens the healthcare
system, requires early detection and treatment. Recent strides in digital health technologies …
system, requires early detection and treatment. Recent strides in digital health technologies …
[HTML][HTML] Gait acceleration-based diabetes detection using hybrid deep learning
Diabetes is a medical condition affecting multiple organs and systems due to high blood
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
sEMG signal-based lower limb movements recognition using tunable Q-factor wavelet transform and Kraskov entropy
Background The recognition of lower limb movement has a wide range of applications in
rehabilitation training, wearable exoskeleton control, and human activity monitoring. Surface …
rehabilitation training, wearable exoskeleton control, and human activity monitoring. Surface …
Prediction of diabetes mellitus progression using supervised machine learning
Diabetic peripheral neuropathy (DN) is a serious complication of diabetes mellitus (DM) that
can lead to foot ulceration and eventual amputation if not treated properly. Therefore …
can lead to foot ulceration and eventual amputation if not treated properly. Therefore …
Wearable Movement Exploration Device with Machine Learning Algorithm for Screening and Tracking Diabetic Neuropathy—A Cross-Sectional, Diagnostic …
G Radunovic, Z Velickovic, S Pavlov-Dolijanovic… - Biosensors, 2024 - mdpi.com
Background: Diabetic neuropathy is one of the most common complications of diabetes
mellitus. The aim of this study is to evaluate the Moveo device, a novel device that uses a …
mellitus. The aim of this study is to evaluate the Moveo device, a novel device that uses a …
Deep Learning-Based Classification and Feature Extraction for Predicting Pathogenesis of Foot Ulcers in Patients with Diabetes
V Sathya Preiya, VDA Kumar - Diagnostics, 2023 - mdpi.com
The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of
the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality …
the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality …
A machine learning-based severity prediction tool for the Michigan neuropathy screening instrument
Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of
diabetes, which may lead to foot ulceration and amputation. Among the screening tools for …
diabetes, which may lead to foot ulceration and amputation. Among the screening tools for …
The role of machine learning in advancing diabetic foot: a review
H Guan, Y Wang, P Niu, Y Zhang, Y Zhang… - Frontiers in …, 2024 - frontiersin.org
Background Diabetic foot complications impose a significant strain on healthcare systems
worldwide, acting as a principal cause of morbidity and mortality in individuals with diabetes …
worldwide, acting as a principal cause of morbidity and mortality in individuals with diabetes …