Patient Disease Network summarizing the contents of the entire corpus of electronic health records at University of Utah Health, derived from 1.6 million patients. Each node (circle) is a diagnosis, procedure, or medication. The edges (lines) between each node denote statistically significant comorbid relationships. Wesołowski and Lemmon, et al.
Image Credit: Sergiusz Wesołowski, created using Graph-tool (Tiago P. Peixoto, "The graph-tool python library", figshare. (2014) DOI: 10.6084/m9.figshare.1164194 [sci-hub])
Research Articles
Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment
PLOS Digital Health: published February 17, 2022 | https://doi.org/10.1371/journal.pdig.0000012
Is Europe prepared to go digital? making the case for developing digital capacity: An exploratory analysis of Eurostat survey data
PLOS Digital Health: published February 17, 2022 | https://doi.org/10.1371/journal.pdig.0000013
Transfer learning for non-image data in clinical research: A scoping review
PLOS Digital Health: published February 17, 2022 | https://doi.org/10.1371/journal.pdig.0000014
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
PLOS Digital Health: published February 17, 2022 | https://doi.org/10.1371/journal.pdig.0000016
Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials
PLOS Digital Health: published February 24, 2022 | https://doi.org/10.1371/journal.pdig.0000015
Opinion
The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)
PLOS Digital Health: published February 3, 2022 | https://doi.org/10.1371/journal.pdig.0000011