Background In the context of a deepening global shortage of health workers and, in
particular, the COVID-19 pandemic, there is growing international interest in, and use of …

Background Previous studies have revealed that users of symptom checkers (SCs, apps that
support self-diagnosis and self-triage) are predominantly female, are younger than average …

Background A major stream of research on symptom checkers aims at evaluating the
technology's predictive accuracy, but apart from general trends, the results are marked by …

Background: Although medical decision-making may be thought of as a task involving health
professionals, many decisions, including critical health–related decisions are made by …

Objective To evaluate the ability of case vignettes to assess the performance of symptom
checker applications and to suggest refinements to the methodology used in case vignette …

This review provides a thorough examination of recent developments in artificial intelligence
analysis methods within mental and psychiatry field. By analyzing and comparing results …

Abstract Background Symptom checker applications (SCAs) may help laypeople classify
their symptoms and receive recommendations on medically appropriate actions. Further …

Background Reproductive health conditions such as endometriosis, uterine fibroids, and
polycystic ovary syndrome (PCOS) affect a large proportion of women and people who …

Most studies evaluating symptom-assessment applications (SAAs) rely on a common set of
case vignettes that are authored by clinicians and devoid of context, which may be …

Background Symptom checker apps (SCA) aim to enable individuals without medical
training to classify perceived symptoms and receive guidance on appropriate actions, such …