Latest AI and machine learning research in endocrinology for healthcare professionals.
INTRODUCTION: Gynecomastia is characterized by enlarged breast tissue in men and is often caused by genetic or endocrinological disorders, cancer, or medication use, with idiopathic causes being the most common. If no clinically treatable cause is identified and the condition persists for more than two years, surgical treatment is indicated. This typically involves adenectomy with or without lipos...
Kefir, a fermented milk product, differs from yogurt due to its unique microbial composition, offering a broad spectrum of health benefits. Given its global popularity and high cost, there is a significant trend towards domestic kefir production. This study explores the optimization of kefir fermentation using Costa Rican domestic kefir grains, assessing the effects of temperature, agitation, and ...
A 25-year-old previously healthy man presents to the clinic with a severe headache after cocaine consumption. Physical examination revealed acromegalo...
Metal ion-rich polysaccharides (CMP) are obtained by biotransformation and chemical synthesis. The physicochemical properties and bioactivity of sele...
The phenolic composition, antioxidant capacity, and enzyme inhibition activities of L. leaf (MLs) ethanol extract were comprehensively evaluated to e...
Diabetic retinopathy (DR), the prevalence of which continues to rise, is one of the most common causes of vision loss worldwide. Experimental and clin...
OBJECTIVE: This study aimed to determine the glycemic index of conventional and biofortified cowpeas, their effects on healthy individuals' appetite, ...
PURPOSE: Partial patients with biochemical incomplete response (BIR) after initial therapy for differentiated thyroid cancer (DTC) may progress to str...
INTRODUCTION: This clinical study was conducted to describe the endodontic microbiological profile of teeth with apical periodontitis in patients with...
In this study, we propose a novel approach to enhancing transfer learning by optimizing data selection through deep learning techniques and correspond...
PURPOSE: Non-Proliferative Diabetic Retinopathy (NPDR) is a complication of diabetes disease where there is damage of the blood vessels in retina but ...
BACKGROUND: Periodontitis can lead to the development of atherosclerotic heart disease.
OBJECTIVE: To evaluate the effectiveness of a simple positioning aid device in neck CT scans for the diagnosis of thyroid cancer, with a focus on its ...
Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often relied on self-reported activity measures or short-t...
OBJECTIVES: To develop and validate a machine learning (ML) model to differentiate malignant from benign thyroid nodules (TNs) based on the routine da...
As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of irreversible blindness. Automatic DR grading plays...
Glucose forecasting is a crucial feature in a closed-loop diabetes management system relying on minimally invasive continuous glucose monitoring (CGM)...
Effective management of obesity and type 2 diabetes is a major global public health challenge that requires evidence-based, scalable personalized nutr...
Polycystic Ovarian Disease (PCOD) is among the most prevalent endocrine disorders complicating the health of innumerable women worldwide due to lack o...
INTRODUCTION: In recent years, artificial intelligence (AI) tools have become widely studied for thyroid ultrasonography (USG) classification. The rea...