Inherent bias in the artificial intelligence (AI)-model brings inaccuracies and variabilities
during clinical deployment of the model. It is challenging to recognize the source of bias in AI …

Objective Accurate and rapid phenoty** is a prerequisite to leveraging electronic health
records for biomedical research. While early phenoty** relied on rule-based algorithms …

Background While acute kidney injury (AKI) is a common complication in COVID-19, data on
post-AKI kidney function recovery and the clinical factors associated with poor kidney …

Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin
pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to …

Background Admissions are generally classified as COVID-19 hospitalizations if the patient
has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35 …

Child health is defined by a complex, dynamic network of genetic, cultural, nutritional,
infectious, and environmental determinants at distinct, developmentally determined epochs …

Objectives Federated learning (FL) has gained popularity in clinical research in recent years
to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent …

Background In electronic health records, patterns of missing laboratory test results could
capture patients' course of disease as well as​​ reflect clinician's concerns or worries for …

Background Many countries have experienced 2 predominant waves of COVID-19–related
hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate …

Abstract Objective Bacterial infections (BIs) are common, costly, and potentially life-
threatening in critically ill patients. Patients with suspected BIs may require empiric multidrug …