Diabetes

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults with type 2 diabetes, and advanced fibrosis is its strongest prognostic marker. However, existing noninvasive tools may underperform in diabetes care and are inconsistently used in practice. OBJECTIVE: To evaluate the feasibility, usability, and preliminary diagnostic effectiveness of FibroX, an expl...

Biomarkers discovery of diabetic retinopathy through serum metabolomics - Retinal image association analysis with machine learning.

The aim of this study is to develop an innovative method of machine learning combining metabolomic and radiomic analyses for identifying biomarkers to distinguish diabetic retinopathy (DR) patients, non-retinopathy diabetic (NDR) patients and healthy individuals. The serum metabolic profiling of 94 DR patients, 95 NDR patients, and 95 healthy individuals was acquired through the Shimadzu LC-40D X3...

Deep learning based eye disease classification using Optical Coherence Tomography (OCT) images.

BACKGROUND AND OBJECTIVE: Optical Coherence Tomography (OCT) imaging plays a crucial role in the early diagnosis of ocular diseases. This study aims t...

DPA-Net: A dual-path attention neural network for estimating glycemic metrics from self-monitored blood glucose data.

Continuous glucose monitoring (CGM) provides dense and dynamic glucose profiles that enable reliable estimation of glycemic metrics, such as time-abov...

Deep-learning-based diagnostic models for transcutaneous oxygen pressure-defined peripheral arterial disease and lower extremity wound healing in patients with diabetic foot.

BACKGROUND: Few studies have evaluated peripheral artery disease (PAD) and wound healing in patients with lower extremity wounds using a convolutional...

Exploring the mechanisms of diethyl phthalate-induced diabetic nephropathy through integrated network toxicology, machine learning, and experimental validation.

Phthalate plasticizers, especially diethyl phthalate (DEP), are linked to metabolic disorders, while their precise role and mechanism in diabetic neph...

Carpal Tunnel Syndrome Diagnosis: A Narrative Review of Complementary Roles of Neuromuscular Ultrasound and Electrodiagnostic Studies.

Carpal tunnel syndrome (CTS), the most prevalent entrapment neuropathy of the upper extremities, presents diagnostic challenges due to nonspecific cli...

Lesion Learning Network with Relation Aware Transformer for Diabetic Retinopathy Grading.

Diabetic Retinopathy (DR) is a leading cause of permanent blindness due to the difficulty of early screening. In this context, deep-learning-based aut...

Glycation and disease: a systematic review of the analytical methods and applications of advanced glycation end products (AGEs) as biomarkers of disease.

Over a century since Louis Camille Maillard first described the reaction that bears his name, advanced glycation end products (AGEs) resulting from th...

Development of a machine learning model using structured and unstructured features for predicting surgery among patients with carpal tunnel syndrome: development and validation.

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy and often requires surgery when symptoms persist. However, identifying patients ...

Enhanced glucose forecasting using recurrent neural network and advanced feature engineering.

The aim of this study is to develop an artificial intelligence (AI)-driven pipeline for forecasting blood glucose levels to mitigate risks associated ...

Self-enhancement-based perfusion mapping with contrast-enhanced magnetic resonance imaging for PAD assessment.

We developed an automatic self-enhancement-based perfusion mapping (SEPM) method to relatively map the microvascular perfusion level in contrast-enhan...

Dynamic Surveillance of the Cardiovascular Risk and Identification of Treatment Responders in Type 2 Diabetes Using A Machine Learning-Based Model.

AIMS: To establish a model to predict cardiovascular risk and identify treatment response for patients with type 2 diabetes. METHODS: Data from 11677 ...

Enhancing Community-Based Nursing Decision Support: Machine Learning Models for Diabetes Risk Prediction Using Home Health Nursing Notes.

OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...

Objective prediction of siesta based on machine learning and association with obesity.

OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...

Cross-body site microbial interactions influence the human plasma metabolome.

BACKGROUND: The human microbiome profoundly influences the host plasma metabolome and health, but most studies have focused on the gut microbiome in i...

Mechanistic Design of Graphdiyne-Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On-Demand Inactivation.

Rapid and accurate detection of pathogenic bacteria remains essential for infection control and timely treatment. Here, we report a graphdiyne (GDY)-b...

Next-generation epidermal patches: Bridging 3D and multidimensional printing for biomedical and personal care innovations.

Advances in additive manufacturing, particularly 3D and multidimensional printing, have enabled unprecedented control over the architecture, compositi...

Development and Multicenter External Validation of a Real-Time Artificial Intelligence Diagnostic System for Diabetic Peripheral Neuropathy Based on Wearable Devices.

Diabetic peripheral neuropathy (DPN) ranks among the most common complications of diabetes worldwide, often leading to severe morbidity if undetected ...

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.

Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impa...