Neonatal Neurological Observation With Video AI
Part of paid clinical trials in New York, New York.
- Sponsor
- Artemis AI Labs
- Study ID
- NCT07628829
- Status
- Not Yet Recruiting
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Conditions
- Hypoxic-Ischemic Encephalopathy
- Neonatal Encephalopathy
- Sedation
- Sleep
Eligibility Criteria
- Sex
- ALL
- Age
- N/A - N/A
- Healthy Volunteers
- Accepted
Interventions
- Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring — DEVICEA 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.
Study Details
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).
Key Dates
- Start date
- Jun 1, 2026
- Status verified
- Jun 2026
- Primary completion
- May 31, 2027
- Completion
- May 31, 2029
Study Design
- Enrollment
- 200 participants (estimated)
Arms
- Arm: NICU-Admitted Infants Undergoing Continuous Video MonitoringInfants admitted to newborn services, including the neonatal intensive care unit (NICU), who meet eligibility criteria and undergo continuous, non-contact bedside video monitoring from enrollment until hospital discharge.
Primary Outcome Measure
AI Anatomic Landmark Tracking Accuracy [ Time Frame: At study completion, an average of 1 week. ]
Central Contacts
- Saum Naderi, MA714-913-3641
- Florian Richter, PhD773-312-3301
Locations (2)
| Facility | City | State | ZIP |
|---|---|---|---|
| Mount Sinai Hospital | New York | New York | 10029 |
| Weill Cornell Medicine / NewYork-Presbyterian Hospital | New York | New York | 10065 |
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