Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

Artificial intelligence (AI)-enabled decision aids can contribute to the shared decision-
making process between patients and clinicians through personalised recommendations …

Background: Around the world, depression is both under-and overtreated. The diamond
clinical prediction tool was developed to assist with appropriate treatment allocation by …

Background: Primary care health professionals, especially family physicians, see a variety of
wounds, and yet—despite the frequency of providing wound care—many family physicians …

Objective The act of predicting clinical endpoints and patient trajectories based on past and
current states is on the precipice of a technological revolution. This systematic review …

ABSTRACT The 2019 American Thoracic Society and the Infectious Diseases Society of
America community-acquired pneumonia (CAP) guidelines recommend that drug-resistant …

Background Cardiovascular clinical prediction rules (CPRs) are widely used in primary care.
They accumulate research evidence through derivation, external validation, and impact …

Background Preventive guidelines for melanoma recommend that patients at high risk of
melanoma receive targeted screening; however, this requires careful selection of those at …

Objective The study sought to outline how a clinical risk prediction model for identifying
patients at risk of infection is perceived by home care nurses, and to inform how the output of …

Background Most existing clinical prediction models do not allow predictions under
interventions. Such predictions allow predicted risk under different proposed strategies to be …