Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
BACKGROUND: We assessed whether key biomarkers of endothelial activation and hemostasis/thrombosis w...
BACKGROUND AND OBJECTIVE: Explainable Artificial Intelligence (XAI) has been identified as a viable ...
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (R...
Artificial intelligence (AI) is defined as a set of algorithms and intelligence to try to imitate hu...
Our aim was to investigate the usefulness of machine learning approaches on linked administrative he...
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pre...
BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-seg...
STUDY OBJECTIVE: Some articles have reported the surgical management of Alcock canal syndrome (ACS) ...
Recently, an emerging trend in medical image classification is to combine radiomics framework with d...
Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, d...
Accurate risk assessment of high-risk patients is essential in clinical practice. However, there is ...
Machine learning (ML) has been suggested to improve the performance of prediction models. Neverthele...
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among ...
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for time...
OBJECTIVE: Some researchers have studied about early prediction and diagnosis of major adverse cardi...
AIM: To identify and critically appraise studies of prediction models, developed using machine learn...
As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosi...
Platelet adhesion to blood vessel walls in shear flow is essential to initiating the blood coagulati...
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased c...
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very...
BACKGROUND: Venous thoracic outlet syndrome (vTOS) is caused by external compression of the subclavi...