As the health-care industry emerges into a new era of digital health driven by cloud data
storage, distributed computing, and machine learning, health-care data have become a …

Digital data collection during routine clinical practice is now ubiquitous within hospitals. The
data contains valuable information on the care of patients and their response to treatments …

Retrospectively collected medical data has the opportunity to improve patient care through
knowledge discovery and algorithm development. Broad reuse of medical data is desirable …

Data sharing is central to the rapid translation of research into advances in clinical medicine
and public health practice. In the context of COVID-19, there has been a rush to share data …

Chest radiography is an extremely powerful imaging modality, allowing for a detailed
inspection of a patient's chest, but requires specialized training for proper interpretation. With …

In the last decade Open Science principles have been successfully advocated for and are
being slowly adopted in different research communities. In response to the COVID-19 …

Purpose Mechanical power (MP) may unify variables known to be related to development of
ventilator-induced lung injury. The aim of this study is to examine the association between …

Machine learning for healthcare researchers face challenges to progress and reproducibility
due to a lack of standardized processing frameworks for public datasets. We present MIMIC …

BACKGROUND Despite guidelines promoting the prevention and aggressive treatment of
ventilator-associated pneumonia (VAP), the importance of VAP as a driver of outcomes in …

Purpose While the use of transthoracic echocardiography (TTE) in the ICU is rapidly
expanding, the contribution of TTE to altering patient outcomes among ICU patients with …