Neonatal Neurological Observation With Video AI
Artemis AI Labs
Summary
NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside non-contact high definition video running real-time AI analysis of anatomic landmarks and movement, (Comparison) compared against human-labeled video frames and standardized clinical exams, will (Outcome) accurately localize infant anatomic landmarks (primary objective; outcome median position error in pixels) and demonstrate a statistically significant association between a video-derived movement index and clinical measures of patient neurological exams (secondary objective; outcomes N-PASS and modified Sarnat exams).
Description
To fill this critical gap in neonatal care, the investigators developed and validated NeoPose, a low-cost, non-invasive, computer vision digital health tool to continuously monitor infants using real time video streams. NeoPose uses Pose Artificial Intelligence (AI) for an explainable approach to measure, quantify, and analyze infant movement. From the vectorized movement, investigators can accurately confirm the presence of encephalopathy and quantify the degree of sedation. The explainable AI platform enables continuous neuromonitoring with AI-driven alerts, suspicious event replay, movement…
Eligibility
- Age range
- Not specified
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: * Signed and dated informed consent from at least one parent or legally authorized representative (LAR) who is at least 18 years old. * Parent/LAR expresses willingness to comply with study procedures for the duration of the infant's hospital stay. * Infant of any sex (including intersex/undetermined) admitted to newborn services (including the NICU) at a participating hospital. Exclusion Criteria: * Parents or LAR unable to provide informed consent or are under the age of 18. * Non-viable neonates
Interventions
- DeviceContinuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring
A non-contact, passive bedside video recording system is mounted adjacent to the infant's crib or incubator. The device continuously captures video data from enrollment to hospital discharge or withdrawal. The device runs AI models to track infant anatomic landmarks and calculate a continuous movement index. The trial runs in "silent mode," where AI outputs are not shown to the patient's clinical team and do not influence care.
Locations (2)
- Mount Sinai HospitalNew York, New York
- Weill Cornell Medicine / NewYork-Presbyterian HospitalNew York, New York