Latest AI and machine learning research in endocrinology for healthcare professionals.
Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration ...
While artificial intelligence (AI) technologies such as ChatGPT have shown very real and powerful ca...
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting ...
Peptide hormones were first used in medicine in the early 20th century, with the pivotal event being...
OBJECTIVES: The aim of the study was to analyze the data of diabetic patients regarding warning sign...
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of...
PURPOSE: To validate the performance of autonomous diabetic retinopathy (DR) grading by comparing a ...
AIMS: To develop a machine learning model for predicting rapid kidney function decline in people wit...
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to ide...
BACKGROUND: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of ...
Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence...
BACKGROUND: Multiple artificial intelligence (AI) systems have been approved to risk-stratify thyroi...
OBJECTIVE: Polycystic ovary syndrome (PCOS) is one of the most significant cardiovascular risk facto...
Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge...
BACKGROUND: Androgenetic alopecia (AGA) is a multifactorial disorder expressed by several genes and ...
AIM: To identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN...
AIMS: This study aims to compare the performance of contemporary machine learning models with statis...
In the wake of growing concerns regarding diet-related health issues, this study investigates the ap...
The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diab...
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotroph...