Novel deep learning method for coronary artery tortuosity detection through coronary angiography.

Coronary artery tortuosity is usually an undetected condition in patients undergoing coronary angiography. This condition requires a longer examination by the specialist to be detected. Yet, detailed knowledge of the morphology of coronary arteries is essential for planning any interventional treatment, such as stenting.

Association of Kidney Disease, Potassium, and Cardiovascular Risk Factor Prevalence with Coronary Arteriosclerotic Burden, by Sex.

The present study aimed to determine the relationship between the prevalence of cardiovascular risk factors and the number and severity of coronary artery atherosclerotic lesions obtained by coronary angiography. We reviewed and analyzed 1642 records from consecutive patients at the Catheter Laboratory of Talca Regional Hospital in Chile between March 2018 and May 2019. Patients were stratified according to the presence and severity of atherosclerotic lesions: 632 (38.

[Collaborative clinical simulation to train medical students].

In health sciences and medicine, collaborative learning has an important role in the development of competences to solve clinical situations. Adequate cooperation, coordination and communication skills have a direct effect on patient safety. Computer Supported Collaborative Learning (CSCL) and Clinical Simulation (CS), separately, are effective and efficient educational methods to develop competences in undergraduate medical students.

A collaborative clinical simulation model for the development of competencies by medical students.

Herein, we present a new collaborative clinical simulation (CCS) model for the development of medical competencies by medical students. The model is a comprehensive compendium of published considerations and recommendations on clinical simulation (CS) and computer-supported collaborative learning (CSCL). Currently, there are no educational models combining CS and CSCL.