Endocrinology

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

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Showing 1219-1239 of 4,980 articles
Factors Associated With Nonunion After Cervical Fusion Surgery.

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

Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review.

BACKGROUND: There is emerging evidence which suggests the utility of artificial intelligence (AI) in...

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...

Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.

INTRODUCTION: Hypothyroidism can be easily misdiagnosed in dogs, and prediction models can support c...

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...

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) ...

A deep-learning approach for identifying prospective chemical hazards.

With the aim of helping to set safe exposure limits for the general population, various techniques h...

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...

Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.

BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensiv...

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...

Machine learning application in autoimmune diseases: State of art and future prospectives.

Autoimmune diseases are a group of disorders resulting from an alteration of immune tolerance, chara...

Bloody Lips - Gluing Bleeding Lower Lip Spider Angioma in Decompensated Cirrhosis.

Spider angiomas are dilated vascular channels in the skin. They have a central arteriole with surrou...

Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach.

In this study, a flexible deep learning system for breath analysis is created using an optimal hybri...

Asprosin is a Reliable Predictor of Osteoporosis in Type 2 Diabetic Postmenopausal Women: A Case-Control Study.

The study evaluates Asprosin's value in diabetic postmenopausal women, examining its reliability as ...

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