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Maite La Vega-Talbott
Mount Sinai Health System - Icahn School of Medicine
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Accurate Prediction of Neurologic Changes in Critically Ill Infants with Deep Learning on Video Data
Number of pages: 22
Posted: 26 Jun 2024
Alec Gleason
,
Florian Richter
,
Nathalia Beller
,
Naveen Arivazhagan
,
Rui Feng
,
Emma Holmes
,
Benjamin S. Glicksberg
,
Sarah U. Morton
, Maite La Vega-Talbott,
Madeline C. Fields
,
Katherine Guttmann
,
Girish N. Nadkarni
and
Felix Richter
Yeshiva University - Albert Einstein College of Medicine, FloDri Inc, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Harvard University - Division of Newborn Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - The Charles Bronfman Institute of Personalized Medicine and Mount Sinai Health System - Icahn School of Medicine
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Abstract:
Neonatology, Sedation, Encephalopathy, AI, Deep learning
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