Endocrinology

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

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A Robust Machine Learning Model for Diabetic Retinopathy Classification.

Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to c...

The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis.

PURPOSE: To evaluate the ability of an artificial intelligence (AI) model, ChatGPT, in predicting th...

Detection and classification of brain tumor using hybrid deep learning models.

Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving liv...

Thyrotoxic Cardiomyopathy Unveiled: Insights From a Compelling Case Report.

Thyrotoxicosis is a clinical condition characterized by inappropriately elevated thyroid hormone lev...

The Management of Diabetes with Hyperuricemia: Can We Hit Two Birds with One Stone?

Serum urate (SU) is an independent predictor for the incidence of diabetes. In current diabetes trea...

Machine Learning Insights Into Uric Acid Elevation With Thiazide Therapy Commencement and Intensification.

Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...

MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albumi...

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...

A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...

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...

Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics.

The objective of this research is, with the analysis of existing data of thyroid cancer (TC) metabol...

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...

Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review.

Thyroid cancer, a prevalent form of endocrine malignancy, has witnessed a substantial increase in oc...

Artificial intelligence universal biomarker prediction tool.

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

Effects of targeting highly expressed in cancer protein 1 (Hec1) inhibitor INH 1 in breast cancer cell lines In Vitro.

In the present study, the in vitro antiproliferative effect of targeting highly expressed cancer pro...

Polychlorinated Biphenyls and Semen Quality in Healthy Young Men Living in a Contaminated Area.

Polychlorinated biphenyls (PCBs) are persistent organic pollutants and endocrine disruptors that hav...

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...

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