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...
OBJECTIVE: To analyze primary angle closure suspect (PACS) patients' anatomical characteristics of a...
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other ...
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 ...
OBJECTIVE: To assess the feasibility of using non-mydriatic fundus photography in conjunction with a...
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy ...
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...
OBJECTIVE: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variabil...
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...
Structure-based virtual screening is a key tool in early drug discovery, with growing interest in th...
OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), no...
Diabetic retinopathy (DR) is one of the leading causes of vision loss in adults and is one of the de...
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...
OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an...
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...