The challenge of implementing AI models in the ICU
J Norrie - The Lancet Respiratory Medicine, 2018 - thelancet.com
Comment www. thelancet. com/respiratory Vol 6 December 2018 887 methodological
engine improves, so the statistical performance of such models will improve further. Training …
engine improves, so the statistical performance of such models will improve further. Training …
Embedding electronic health records for clinical information retrieval
X Wei, C Eickhoff - arXiv preprint arXiv:1811.05402, 2018 - arxiv.org
Neural network representation learning frameworks have recently shown to be highly
effective at a wide range of tasks ranging from radiography interpretation via data-driven …
effective at a wide range of tasks ranging from radiography interpretation via data-driven …
[PDF][PDF] Spiral flows at the cardiovascular system as the experimental base of new cardiac-gadgets design
AV Savelyev, IV Stepanyan - International Journal of Engineering …, 2018 - mecs-press.org
The results of studies of the functional mechanodynamics of the arteries of the
cardiovascular system are presented. Methods of mathematical neural computer modeling …
cardiovascular system are presented. Methods of mathematical neural computer modeling …
A new low represents a new high in surgical safety
D Boffa - The Lancet Respiratory Medicine, 2018 - thelancet.com
In The Lancet Respiratory Medicine, Nasser Altorki and colleagues1 report a post-hoc
analysis of perioperative morbidity and mortality experienced by participants in a …
analysis of perioperative morbidity and mortality experienced by participants in a …
Multimodal deep learning for prediction of postoperative complications in cardiac surgery
G Confortola - 2018 - politesi.polimi.it
Chest radiographs are the most common imaging exam and are used for both diagnosis and
monitoring of different diseases. When a patient undergoes a cardiac surgery, it is routine …
monitoring of different diseases. When a patient undergoes a cardiac surgery, it is routine …