Evidence map›Paper›PMID 40954233›Full record

ArticlePediatric research2026

Touchless monitoring of neonatal activity-a welcome technological leap in NICU care.

Zachary Vesoulis, Daniel Sprehe, Robert Kopotic

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zachary VesoulisDivision of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, USA. vesoulis_z@wustl.edu.ORCID http://orcid.org/0000-0001-8290-0069
Daniel SpreheDivision of Newborn Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine, St. Louis, USA.
Robert KopoticConvenor, ISO Oximeters Joint Working Group for Medical Device Standards, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiologic monitoring of the most fragile infants faces significant challenges. Sensors in traditional physiological monitoring require direct patient contact, risking skin injury and motion artifacts. Addison et al. present touchless neonatal activity monitoring using AI-powered depth-sensing cameras, achieving 93.8% sensitivity and 92.2% specificity for detecting patient motion. This contactless approach has potential implications for clinical practice both directly, such as guiding sedation management, or indirectly as a method to capture the source of motion artifacts in other vital signs. The technology eliminates skin burden and sensor maintenance challenges. Significant implementation barriers remain, primarily intensive computational requirements and diversity in physical environments and/or care practices that will require significantly more algorithm training before it is ready for deployment. This research represents meaningful progress toward alternative patient monitoring in the NICU while optimizing the patient safety burden.

Indexed as

Intensive Care, NeonatalIntensive Care Units, NeonatalHumansInfant, NewbornMonitoring, Physiologic

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.