Evidence map›Paper›PMID 40290870›Full record

ArticleFrontiers in digital health2025

Transforming neonatal care: a position paper on the potential of augmented and mixed reality.

Patrik Goncalves Rodrigues, Danieli Mayumi Kimura Leandro, Silvia Schoenau de Azevedo, Marcelo Jenné Mimica, Rafaela Fabri Rodrigues, Mauricio Magalhães, Bruno Fernandes Dos Anjos, Gabriel Fernando Todeschi Variane

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Patrik Goncalves RodriguesProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Danieli Mayumi Kimura LeandroProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Silvia Schoenau de AzevedoProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Marcelo Jenné MimicaProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Rafaela Fabri RodriguesProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Mauricio MagalhãesProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Bruno Fernandes Dos AnjosProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Gabriel Fernando Todeschi VarianeProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed reality (MR) and augmented reality (AR) technologies bridge elements of the real and virtual worlds, emerging as tools that allow users to engage with digital cues to aid with tasks encountered in the physical environment. Thus, these holographic-based innovations are potential tools to support real-time patient care. The applications of MR and AR in neonatal care remain significantly underexplored. In the present article, we highlight the applications of MR and AR across medical procedures, physical examinations, medical diagnoses, and telemedicine, further underscoring their transformative potential within neonatal care. The use of MR and AR can be relevant across diverse economic and clinical landscapes, and in-depth research is required to evaluate the advantages of these tools in caring for neonates.

Indexed as

augmented reality (AR)immersive technologiesmixed reality (MR)neonatal careneonatologynewborns and infantssarnat score

Identifiers

PMID40290870
PMCPMC12021927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.