Artificial Intelligence-Based Models for Prediction of Mortality in ICU Patients: A Scoping Review.

Background And Objective: Healthcare professionals may be able to anticipate more accurately a patient's timing of death and assess their possibility of recovery by implementing a real-time clinical decision support system. Using such a tool, the healthcare system can better understand a patient's condition and make more informed judgements about distributing limited resources. This scoping review aimed to analyze various death prediction AI (Artificial Intelligence) algorithms that have been used in ICU (Intensive Care Unit) patient populations.

Comparison of two methods of teaching hypertension in under graduate medical students: "planned lecture" versus "cooperative learning".

Background: The direct and indirect negative impacts of hypertension on mortality and morbidity and the deficiencies in physicians' knowledge on its management prompted us to search for new methods of training this item.

Objectives: In this study, 2 methods of teaching-planned lecture and cooperation-were compared in instructing hypertension to medical students.

Materials And Methods: This study was designed to be a prospective analysis of the efficacy of 2 models of cooperation and planned lecture teaching of hypertension.