Mar 13, 2024 | General, Research
The study titled “Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial”, authored by Dr. Levin and several members of the Clinical Data Science team, has been published in the Critical Care...
Jan 25, 2024 | General, Projects, Research
The Clinical Data Science team, represented by our data scientist Kim-Anh-Nhi Nguyen, MSc, presented the paper “A Deep Learning Model using Chest X-Rays to Predict Re-Intubation Risk in Critical Care” at the 2024 Critical Care Congress in Phoenix, Arizona....
Oct 26, 2023 | General, Research
A new paper written by the Clinical Data Science team has been published in JMIR (https://formative.jmir.org/2023/1/e46905). Background: Early prediction of the need for invasive mechanical ventilation (IMV) in patients hospitalized with COVID-19 symptoms can help in...