Latest AI and machine learning research in primary care for healthcare professionals.
Due to factors such as medical resources, public awareness, funding for general screening, or optimi...
Breast cancer screening has evolved substantially over the past few decades because of advancements ...
BACKGROUND: Deep learning breast cancer risk models demonstrate improved accuracy compared with trad...
PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in ...
INTRODUCTION: The current evaluation processes of the burden of diabetes are incomplete and subject ...
OBJECTIVE: This study aimed to investigate the feasibility of using artificial intelligence (AI) to ...
OBJECTIVE: To investigate the feasibility of using a deep learning-based analysis of auscultation da...
Nuclear receptors (NRs) are ligand-activated transcription factors, which constitute one of the most...
Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore exp...
Preventive identification of mechanical parts failures has always played a crucial role in machine m...
OBJECTIVE: To compare the effectiveness of Logistic regression, BP neural network and support vector...
Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the ...
Deep learning is an artificial intelligence technique in which models express geometric transformati...
OBJECTIVE: We aim to investigate the application and accuracy of artificial intelligence (AI) method...
OBJECTIVE: People are increasingly encouraged to self-manage their chronic conditions; however, many...
PURPOSE: To evaluate the effectiveness of automated fundus screening software in detecting eye disea...
BACKGROUND: Existing challenges of lung cancer screening included non-accessibility of computed tomo...
Extravasation occurs secondary to the leakage of medication from blood vessels into the surrounding ...
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a criti...
Advanced deep learning (DL) algorithms may predict the patient's risk of developing breast cancer ba...