The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study.

Background: Evidence-based clinical intake tools (EBCITs) are structured assessment tools used to gather information about patients and help health care providers make informed decisions. The growing demand for personalized medicine, along with the big data revolution, has rendered EBCITs a promising solution. EBCITs have the potential to provide comprehensive and individualized assessments of symptoms, enabling accurate diagnosis, while contributing to the grounding of medical care.

The prevalence of abnormal right ventricle speckle strain in the setting of acute myocarditis and preserved left ventricle function.

Background: Acute myocarditis has a wide spectrum of clinical presentation, from subclinical disease to acute heart failure, and sudden cardiac death. Two-dimensional speckle tracking echocardiography (2D-STE) has been proven effective in early diagnosis of subclinical cardiac injury, however, there is a limited data regarding the right ventricle (RV) involvement among patients with acute myocarditis.

Purpose: We evaluated the prevalence of early subclinical RV injury assessed by 2D-STE, among patients with acute myocarditis and preserved left ventricle (LV) function.

Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study.

Background: The burden on healthcare systems is mounting continuously owing to population growth and aging, overuse of medical services, and the recent COVID-19 pandemic. This overload is also causing reduced healthcare quality and outcomes. One solution gaining momentum is the integration of intelligent self-assessment tools, known as symptom-checkers, into healthcare-providers' systems.