Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study

202411 citationsJournal Articlegold Open Access

Authors

Alec Gleason · Albert Einstein College of Medicine

Florian Richter · Emodo (United States)

Nathalia Beller · Icahn School of Medicine at Mount Sinai

Naveen Arivazhagan · Icahn School of Medicine at Mount Sinai

Rui Feng · Icahn School of Medicine at Mount Sinai

Emma Holmes · Icahn School of Medicine at Mount Sinai

Benjamin S. Glicksberg

Abstract

Friedman Brain Institute Fascitelli Scholar Junior Faculty Grant and Thrasher Research Fund Early Career Award (F.R.). The Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Office of Research Infrastructure of the National Institutes of Health under award number S10OD026880 and S10OD030463.

Topics & Keywords

Neonatal and fetal brain pathology Neonatal Respiratory Health Research Infant Development and Preterm Care

Publication Details

Published in: EClinicalMedicine

Volume 78, pp. 102919-102919

DOI: 10.1016/j.eclinm.2024.102919

Field-Weighted Citation Impact: 12.33

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Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study

Authors

Abstract

Topics & Keywords

Publication Details