Infant Care: Discover Pose AI for Neonatal Monitoring

Published on: December 7, 2024in

What is Pose AI? In a major breakthrough, researchers at Mount Sinai have developed an amazing tool called Pose AI. This is a deep learning pose-recognition algorithm trained with video footage of infants in the…

What is Pose AI?

In a major breakthrough, researchers at Mount Sinai have developed an amazing tool called Pose AI. This is a deep learning pose-recognition algorithm trained with video footage of infants in the Neonatal Intensive Care Unit (NICU). The goal? To track their movements and capture important neurological metrics in real-time. Imagine having a system in place that can identify changes in an infant’s condition without invasive procedures!

The Impact of Pose AI on Infant Health

Every year, more than 300,000 newborns are admitted to NICUs across the United States. Understanding their neurological status is essential because it reflects the overall health of their central nervous system. Innovative technologies like Pose AI could provide better monitoring methods than traditional ones that only capture snapshots of infant health through physical exams.

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How Does Pose AI Work?

The Mount Sinai team trained Pose AI on over 16,938,000 seconds of video data from 115 different infants. Consequently, the algorithm was able to accurately predict conditions like sedation and cerebral dysfunction using anatomical landmarks captured through the camera! Thus, this deep learning method transforms ordinary video feeds into crucial health insights for healthcare professionals.

The Potential of AI Tools

This exciting advancement not only holds promise for the future of neonatal care but also signals a shift towards integrating AI technologies like Pose AI into medical practices. Dr. Felix Richter from Mount Sinai expressed that this innovative approach enhances existing physician assessments rather than replacing them.

A Safer Way to Monitor Infants

Using cameras equipped with Pose AI means clinicians can monitor babies continuously without disturbing them. This non-invasive method allows for quicker responses to any neurological changes—potentially improving outcomes for some of our most fragile patients.

The Future with Pose AI

Looking ahead, scientists plan to further test this technology across additional NICUs and other institutions. They aim to evaluate how effective these systems are when applied in varying environments and settings, ultimately expanding its use even beyond neonatal care.

Your Path Forward: Exploring Careers in STEM

This remarkable development of Pose AI illustrates how diverse fields within STEM, such as computer science and engineering, are coming together to solve real-world challenges. By pursuing studies related to these areas, you too can be part of innovations that improve lives!

References

Alec Gleason, Florian Richter, Nathalia Beller, Naveen Arivazhagan, Rui Feng, Emma Holmes, Benjamin S. Glicksberg, Sarah U. Morton, Maite La Vega-Talbott, Madeline Fields, Katherine Guttmann, Girish N. Nadkarni, Felix Richter. Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study. eClinicalMedicine, 2024; 102919 DOI: 10.1016/j.eclinm.2024.102919

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