Medical Xpress November 12, 2024
The Mount Sinai Hospital

A team of clinicians, scientists, and engineers at Mount Sinai trained a deep learning pose-recognition algorithm on video feeds of infants in the neonatal intensive care unit (NICU) to accurately track their movements and identify key neurologic metrics.

Findings from this new artificial intelligence (AI)-based tool, published November 11 in the journal eClinicalMedicine, could lead to a minimally invasive, scalable method for continuous neurologic monitoring in NICUs, providing critical real-time insights into that had not been possible before.

Every year, more than 300,000 newborns are admitted to NICUs across the United States. Infant alertness is considered the most sensitive piece of the neurologic exam, reflecting integrity throughout the central nervous system.

Neurologic deterioration in NICUs can happen unexpectedly...

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