Evidence map›Paper›PMID 35315589›Full record

ArticlePediatric pulmonology2022

Developing artificial intelligence technology for pediatric pulmonology: Lessons from COVID-19.

Gustavo Nino, Marius G Linguraru

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric pulmonology, 2022. 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. Article
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

2 authors.

Gustavo NinoDivision of Pediatric Pulmonary and Sleep Medicine, Children's National Hospital, Washington, District of Columbia, USA.ORCID 0000-0001-8621-6109
Marius G LinguraruDepartment of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.

Funding

THE HUMAN INFANT AIRWAY EPITHELIUM AND RECURRENT WHEEZING AFTER RV AND RSV INFECTIONR01HL141237 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI NINO, GUSTAVO · 2019 to 2022
$2.8M
Imaging biomarkers of severe respiratory infections in premature infants Phase IIR42HL145669 · NHLBI · KITWARE, INC. · PI ENQUOBAHRIE, ANDINET ASMAMAW, LINGURARU, MARIUS GEORGE · 2021 to 2022
$1.7M
Imaging Biomarkers of Severe Respiratory Infections in Premature InfantsR41HL145669 · NHLBI · KITWARE, INC. · PI ENQUOBAHRIE, ANDINET ASMAMAW, LINGURARU, MARIUS GEORGE · 2018 to 2018
$225k
NHLBI NIH HHS R01 HL141237NHLBI NIH HHS R41 HL145669NHLBI NIH HHS R42 HL145669
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Pulmonary MedicineArtificial IntelligenceChildHumansSARS-CoV-2Technologyartificial intelligenceCOVID-19machine learningpediatrics

Identifiers

PMID35315589
PMCPMC9088653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.