Clinical trials have been slow to incorporate e-technology (digital and electronic technology
that utilizes mobile devices or the Internet) into the design and execution of studies. In the …

Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …

Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI),
however, clinical adoption of these models requires interpretability and transportability. Non …

Within the literature concerning modern machine learning techniques applied to the medical
field, there is a growing interest in the application of these technologies to the nephrological …

Background Little is known about body weight status and the association between body
weight and common comorbidities in children and adults with Down syndrome (DS), autism …

Objective Diabetic kidney disease (DKD) is one of the most frequent complications in
diabetes associated with substantial morbidity and mortality. To accelerate DKD risk factor …

Purpose Chronic upper extremity disability (UED) is common after breast cancer treatment
but under-identified and under-treated. Although UED has been linked to quality of life …

Objectives Electronic health record (EHR) data aggregated from multiple, non-affiliated,
sources provide an important resource for biomedical research, including digital …

A Digital Architecture for a Network-Based Learning Health System: Integrating Chronic Care
Management, Quality Improvement, and Research - PMC Back to Top Skip to main content NIH …

Objective The aim of this study was to determine whether a secure, privacy-preserving
record linkage (PPRL) methodology can be implemented in a scalable manner for use in a …