Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

Policy Points: r With increasing integration of artificial intelligence and machine learning in
medicine, there are concerns that algorithm inaccuracy could lead to patient injury and …

Importance Gestational diabetes is associated with several poor health outcomes. Objective
To update the 2012 review on screening for gestational diabetes to inform the US Preventive …

Background Ventra hernias are increasing in prevalence and many recur despite attempted
repair. To date, much of the literature is underpowered and divergent. As a result there is …

The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …

Cognitive-behavioural therapy (CBT) is the first line of treatment for several mental health
disorders. However, not all patients show clinical improvements after receiving CBT …

Background The prognosis of hospitalized patients with severe coronavirus disease 2019
(COVID-19) is difficult to predict, and the capacity of intensive care units was a limiting factor …

Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of
fertilized oocytes (embryos) and selecting the best embryo (s) available within a patient …

Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …

Computer-aided-diagnosis and stratification of COVID-19 based on chest X-ray suffers from
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …