Latest AI and machine learning research in primary care for healthcare professionals.
Osteoarthritis (OA) of the knee is a chronic state that significantly lowers the quality of life for...
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of...
AIMS: To develop a machine learning model for predicting rapid kidney function decline in people wit...
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...
BACKGROUND: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of ...
Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These...
Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound i...
OBJECTIVE: This review aims to explore the strengths and dilemmas of existing osteoporosis screening...
BACKGROUND: Studies of cardiovascular disease risk prediction by machine learning algorithms often d...
This study aims to demonstrate that demographics combined with biometrics can be used to predict obe...
BACKGROUND AND OBJECTIVE: The aim of this study was to develop and validate explainable prediction m...
AIMS: This study aims to compare the performance of contemporary machine learning models with statis...
The research is aimed at exploring the potential of marigold petal tea (MPT), rich in polyphenol co...
Through the advancement of the contemporary web and the rapid adoption of social media platforms suc...
Recent advancements in stem cell technology have led to the development of organoids - three-dimensi...
The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diab...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significan...
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...
Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patient...
BACKGROUNDS: During the Coronavirus Disease 2019 (COVID-19) epidemic, the massive spread of the dise...
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorith...