Latest AI and machine learning research in endocrinology for healthcare professionals.
Adjuvant use of bone-modifying agents (BMAs) to early-stage breast cancer (eBC) aims to maintain bon...
This study explores the potential of state-of-the-art large language models (LLM) to scaffold type 1...
This study aims to develop an accessible, machine learning-derived tool for people with type 1 diabe...
Thyroid nodules are frequently encountered in clinical practice, with their detection increasing due...
To assess the performance of machine learning (ML) models in predicting gestational diabetes mellitu...
This paper re-imagines a world of abundance in the treatment of chronic diseases such as Tpe 2 Diabe...
The Nocturnal Glycemic Stability Index (NGSI) is a novel quantitative metric designed to comprehensi...
Dementia, especially Alzheimer’s disease (AD), is a major global health challenge marked by progress...
A major challenge in deciphering the complex genetic landscape of Polycystic Ovary Syndrome (PCOS) l...
We developed a multi-Polygenic risk score (multiPRS) to predict the risk of nephropathy, stroke, and...
To assess the value of an AI-powered conversational agent in supporting diabetes self-management amo...
Diabetes represents an emerging global health crisis, with lower-middle-income countries experiencin...
This study explores Artificial Intelligence (AI)’s transformative role in diabetes care and monitori...
Artificial intelligence (AI) in chronic disease prediction often exhibits algorithmic biases, hinder...
Accurate and interpretable forecasting of blood glucose levels is critical for effective manage- men...
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...
Clinical documentation represents a significant burden for healthcare providers, with physicians spe...
This paper presents a hybrid model combining fuzzy logic, recursive feature elimination (RFE), and l...
High-dimensional medical datasets present challenges in feature selection, where traditional methods...
Long-term management of chronic diseases such as diabetes is increasingly based on wearable technolo...
In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-i...