Latest AI and machine learning research in primary care for healthcare professionals.
Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease and ranks third in g...
Predicting the spread trends of a pandemic is crucial, but long-term prediction remains challenging ...
Complicated grief is both a cause and a consequence of health inequities in Native (American Indian/...
BACKGROUND: According to previous reports, very high percentages of individuals in Saudi Arabia are ...
Sudden cardiac death (SCD) remains a pressing health issue, affecting hundreds of thousands each yea...
AIMS: To explore the potential of N-terminal pro-B natriuretic peptide (NTproBNP) in identifying adv...
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of diff...
This study addresses the pressing need for improved methods to predict lean mass in adults, and in p...
Diabetes mellitus is a prevalent chronic disease necessitating timely identification for effective m...
Diabetic retinopathy (DR) is one of the leading causes of vision loss in adults and is one of the de...
Structure-based virtual screening is a key tool in early drug discovery, with growing interest in th...
OBJECTIVE: Keratitis is the primary cause of corneal blindness worldwide. Prompt identification and ...
Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal...
Obesity recognition in adolescents is a growing concern. This study presents a deep learning-based o...
INTRODUCTION: The aim of this study was to compare various machine learning algorithms for construct...
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipos...
The potential and promise of deep learning systems to provide an independent assessment and relieve ...
As a common disease, cardiovascular and cerebrovascular diseases pose a great harm threat to human w...
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, ...
BACKGROUND: We aimed to determine the best-performing machine learning (ML)-based algorithm for pred...
Artificial intelligence (AI) readers of mammograms compare favourably to individual radiologists in ...