Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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The Influence of Airborne Particulate Matter on the Risk of Gestational Diabetes Mellitus: A Large Retrospective Study in Chongqing, China.

Emerging research findings suggest that airborne particulate matter might be a risk factor for gesta...

Machine learning prediction models for diabetic kidney disease: systematic review and meta-analysis.

BACKGROUND: Machine learning is increasingly recognized as a viable approach for identifying risk fa...

Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening.

Our study aimed to assess the role of a hand-held fundus camera and artificial intelligence (AI)-bas...

Psychological Alterations in Youths with Type I Diabetes: Associations with Salivary Cortisol Concentration.

Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolesce...

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...

Artificial intelligence universal biomarker prediction tool.

Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker predicti...

Validating the Health Benefits of Coffee Berry Pulp Extracts in Mice with High-Fat Diet-Induced Obesity and Diabetes.

The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesi...

Factors Associated With Nonunion After Cervical Fusion Surgery.

Background Bony fusion is a critical factor in the outcome of cervical spinal fusion surgery. While ...

Characterization and bioactivities of coffee husks extract encapsulated with polyvinylpyrrolidone.

Coffee processing generates large amounts of residues of which a portion still has bioactive propert...

Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study.

BACKGROUND: Wearable insulin biosensors represent a novel approach that combines the benefits of rea...

Empagliflozin and Rapid Kidney Function Decline Incidence in Type 2 Diabetes: An Exploratory Analysis From the EMPA-REG OUTCOME Trial.

RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes ...

Co-existence of Type 1 Diabetes Mellitus and Myasthenia Gravis: A Case Report and Review of the Literature.

BACKGROUND/OBJECTIVE: Type 1 diabetes (T1D) and myasthenia gravis (MG) are autoimmune conditions tha...

A Woman With -Associated Monogenic Diabetes Treated Successfully With Repaglinide Monotherapy.

BACKGROUND/OBJECTIVE: Monogenic diabetes is a rare type of diabetes that is commonly misdiagnosed as...

Artificial intelligence in glaucoma detection using color fundus photographs.

PURPOSE: To explore the potential of artificial intelligence (AI) for glaucoma detection using deep ...

Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program.

PURPOSE: To evaluate mydriatic handheld retinal imaging performance assessed by point-of-care (POC) ...

Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population.

PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabet...

A single session of strength training changed plasma levels of resistin, but not leptin in overweight and obese men.

Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adip...

Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model.

Diabetic retinopathy (DR) is a significant cause of vision impairment, emphasizing the critical need...

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