Advances in bedside imaging: lung ultrasound.

Elina Nazarian, Jante S Sinnige, Lieuwe D J Bos, Marry R Smit

Abstract readReview

In one paragraph

Review in Intensive care medicine experimental, 2025. 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

4 authors.

Elina NazarianDepartment of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands. e.nazarian@amsterdamumc.nl.ORCID http://orcid.org/0009-0003-8065-1566

Jante S SinnigeDepartment of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.

Lieuwe D J BosDepartment of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.

Marry R SmitDepartment of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung ultrasound has become an indispensable tool in the management of acute respiratory failure, offering real-time, radiation-free bedside imaging. Its portability, repeatability, and high sensitivity for detecting pulmonary abnormalities have made it particularly valuable in critical care settings, especially during the Coronavirus disease 2019 pandemic. This narrative review explores the evolving role of lung ultrasound, examining both its established clinical applications and recent advances in artificial intelligence and imaging analysis. These developments emphasize the growing importance of lung ultrasound not only as a diagnostic tool but also as a platform for innovation, with artificial intelligence-driven approaches to further enhance its clinical utility.

Indexed as

Acute respiratory failureInnovationsIntensive careLung ultrasound

Identifiers

PMID41379362

DOI10.1186/s40635-025-00838-5

PMCPMC12698886

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.