The Lancet

Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence

aDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA bResearch Laboratory for Electronics, Massachusetts Institute of Technology ...
ahajournals.org

Cell Painting and Machine Learning Distinguish Fibroblasts From Nonfailing and Failing Human Hearts

The emergence of machine learning and high-content microscopy suggests potential to more comprehensively define CF activation beyond simply staining α-SMA. Here, we coupled Cell Painting 4 with a ...
Frontiers

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Background: Mechanically ventilated patients in the intensive care unit (ICU) have high mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology Score II (SAPS II ...
The Lancet

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

aDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA bDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA cDepartment of ...