Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND/OBJECTIVE: Type 1 diabetes (T1D) and myasthenia gravis (MG) are autoimmune conditions tha...
AI is undeniably revolutionizing medical research and patient care across diverse fields. Chronic di...
BACKGROUND/OBJECTIVE: Monogenic diabetes is a rare type of diabetes that is commonly misdiagnosed as...
The enzyme dipeptidyl peptidase 4 (DPP4) is a potential therapeutic target for type 2 diabetes (T2DM...
PURPOSE: Preterm birth presents a major challenge in perinatal care, and predicting preterm birth re...
A significant worldwide health issue, Type 2 Diabetes Mellitus (T2DM) calls for creative solutions. ...
The Prechtl General Movements Assessment (GMA) is increasingly recognized for its role in evaluating...
Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory processes, dem...
Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adip...
Electronic health records (EHR) have been widely used in building machine learning models for health...
Three successive multiple generations of rats were exposed to different toxicants and then bred to t...
BACKGROUND: Image-derived artificial intelligence (AI)-based risk models for breast cancer have show...
Cytochrome P450 3A4 (CYP3A4), a prominent member of the P450 enzyme superfamily, plays a crucial rol...
BACKGROUND: The use of machine learning and deep learning techniques in the research on diabetes has...
BACKGROUND AND OBJECTIVES: In portal hypertension, gastric varix-associated bleeding is known to hav...
An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be use...
INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental fa...
In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...
A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various ...
PURPOSE: We applied machine learning to study associations between regional body fat distribution an...
Hypertension is one of the most common chronic diseases, and its prevalence is increasing worldwide....