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Accurate prediction of neurologic changes in critically ill infants using pose AI.

Alec GleasonFlorian RichterNathalia BellerNaveen ArivazhaganRui FengEmma HolmesBenjamin S GlicksbergSarah U MortonMaite La Vega-TalbottMadeline FieldsKatherine GuttmannGirish N NadkarniFelix Richter
Published in: medRxiv : the preprint server for health sciences (2024)
We used pose AI to predict sedation and cerebral dysfunction in 4,705 hours of video from a large, diverse cohort of infants. Pose AI may offer a scalable, minimally invasive method for neuro-telemetry in the NICU.
Keyphrases
  • artificial intelligence
  • minimally invasive
  • machine learning
  • preterm infants
  • subarachnoid hemorrhage
  • oxidative stress
  • deep learning
  • mechanical ventilation
  • intensive care unit
  • robot assisted
  • mass spectrometry