Endocrinology

Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to co...

[Adrenal insufficiency as part of X-linked adrenoleukodystrophy].

BACKGROUND:  X-linked adrenoleukodystrophy (X-ALD) is a severe neurodegenerative metabolic disease w...

Deep learning-enabled breast cancer endocrine response determination from H&E staining based on ESR1 signaling activity.

Estrogen receptor (ER) positivity by immunohistochemistry has long been a main selection criterium f...

Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.

BACKGROUND: The use of machine learning and deep learning techniques in the research on diabetes has...

Comparison of hybrid RNA-based models to predict the degradation and mineralization of the microcontaminant hormone 17β-estradiol.

New alternatives for effluent decontamination, such as electrochemical oxidation, are being develope...

A novel approach for diabetic foot diagnosis: Deep learning-based detection of lower extremity arterial stenosis.

PURPOSE OF THE STUDY: Assessing the lower extremity arterial stenosis scores (LEASS) in patients wit...

Machine Learning Model with Computed Tomography Radiomics and Clinicobiochemical Characteristics Predict the Subtypes of Patients with Primary Aldosteronism.

RATIONALE AND OBJECTIVES: Adrenal venous sampling (AVS) is the primary method for differentiating be...

A Smart Sensing Technologies-Based Intelligent Healthcare System for Diabetes Patients.

An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be use...

Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes.

INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental fa...

Artificial intelligence in breast imaging: potentials and challenges.

Breast cancer, which is the most common type of malignant tumor among humans, is a leading cause of ...

A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning.

PURPOSE: We applied machine learning to study associations between regional body fat distribution an...

Exploring the Use of ChatGPT in Delivering Evidence-Based Information to Patients with Thyroid Eye Disease.

Artificial Intelligence-powered automatic volume calculation in medical images - available tools, performance and challenges for nuclear medicine.

Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluatin...

Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study.

BACKGROUND: Calcification is a common phenomenon in both benign and malignant thyroid nodules. Howev...

A stacked ensemble machine learning approach for the prediction of diabetes.

OBJECTIVES: Diabetes has become a leading cause of mortality in both developed and developing countr...

CatNet: Sequence-based deep learning with cross-attention mechanism for identifying endocrine-disrupting chemicals.

Endocrine-disrupting chemicals (EDCs) pose significant environmental and health risks due to their p...

Densely connected convolutional networks for ultrasound image based lesion segmentation.

Delineating lesion boundaries play a central role in diagnosing thyroid and breast cancers, making r...

Automated segmentation of ultra-widefield fluorescein angiography of diabetic retinopathy using deep learning.

BACKGROUND/AIMS: Retinal capillary non-perfusion (NP) and neovascularisation (NV) are two of the mos...

Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning.

BACKGROUND/AIMS: Fundus fluorescein angiography (FFA) is an important technique to evaluate diabetic...

The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.

INTRODUCTION: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabi...

The relationship of pre-operative vitamin D and TSH levels with papillary thyroid cancer.

OBJECTIVE: Our goal in this study is to analyze the correlation between papillary thyroid cancer (PT...