Diabetes

Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review.

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy, posing risks...

Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions.

INTRODUCTION: To evaluate the accuracy and completeness of responses across common obstetrical and g...

Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of the BEST-CLI trial.

BACKGROUND: Chronic limb-threatening ischemia (CLTI), the most severe form of peripheral artery dise...

Association between triglyceride-glucose index and depression and the mediating role of hypertension: a cross-sectional study of obese adults.

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) i...

A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.

KEY POINTS: Proteomics analyses consistently identified nine independent protein predictors for CKD ...

Interpretable type 2 diabetes incidence prediction with AutoScore: A model based on standard clinical parameters.

OBJECTIVE: Accurate prediction of type 2 diabetes mellitus (T2DM) onset is critical to enable timely...

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring...

Identification of GPX3 as a key biomarker of placental ferroptosis in gestational diabetes mellitus via bioinformatics and clinical analysis.

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, and em...

Precision Nutritional Genomics, Gut Microbiota and Artificial Intelligence in Chronic Kidney Disease.

Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD i...

Response to: "Letter to the editor "The role of artificial intelligence in diabetic retinopathy screening in type 1 diabetes: A systematic review".

Carbohydrate counting in traditional Turkish fast foods for individuals with type 1 diabetes: Can artificial intelligence models replace dietitians?

OBJECTIVES: Carbohydrate counting is a recommended approach for achieving glycemic control in indivi...

Developing and Evaluating a Natural Language Processing Algorithm to Detect Insulin Pump and Continuous Glucose Monitor Use in Electronic Health Records of Patients with Type 1 Diabetes.

OBJECTIVE: We aimed to develop and validate natural language processing (NLP) algorithms to identify...

Modified UNet-enhanced ultrasonic superb microvascular imaging feature extraction and grading of carpal tunnel syndrome.

Carpal tunnel syndrome (CTS) is recognized as the most frequently encountered median nerve (MN) entr...

Advancements in ocular blood flow imaging: Clinical applications of laser speckle flowgraphy and optical coherence tomography angiography in retinal and choroidal vascular diseases.

Ocular blood flow imaging techniques have become indispensable in current clinical practice because ...

OcuViT: A Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification.

Early detection and accurate classification of retinal diseases, such as diabetic retinopathy (DR) a...

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underse...

Unfolding the diagnostic pipeline of diabetic retinopathy with artificial intelligence: A systematic review.

Diabetic retinopathy (DR) is a leading cause of vision impairment globally, necessitating early and ...

Impact of artificial intelligence in vision science: A systematic review of progress, emerging trends, data domain quantification, and critical gaps.

The prominence of artificial intelligence (AI) is growing exponentially, yet its implementation acro...

The prognostic significance of metabolic score for insulin resistance in evaluating all-cause and cardiovascular mortality risk among individuals across stages 1-4 of cardiovascular-kidney-metabolic syndrome: a nationwide prospective cohort study.

BACKGROUND AND AIM: Cardiovascular-kidney-metabolic syndrome (CKM) embodies the intricate interactio...

Customizing AI-based screening with real-world data: Practical insights from diabetic retinopathy.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally....

Improvement of an eye disease detection model by using the denoising diffusion implicit model.

With rapid developments in artificial intelligence (AI), the discussion about and applications of ge...