Evidence map›Paper›PMID 42346915›Full record

ArticleJournal of imaging2026

Fracture Detection on Bone Radiographs: The Impact of an AI Tool on Orthopaedic Night Shifts.

Domenico Albano, Giacomo Vignati, Sara D'Andrea, Salvatore Gitto, Carmelo Messina, Riccardo Accetta, Luca Maria Sconfienza

Abstract read
In one paragraph

Article in Journal of imaging, 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

7 authors.

Domenico AlbanoDepartment of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza dell'Ospedale Maggiore, 3, 20162 Milano, Italy.ORCID 0000-0001-7989-9861
Giacomo VignatiASST Valle Olona, Busto Arsizio, 21052 Varese, Italy.
Sara D'AndreaSchool of Radiology, Università Degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milano, Italy.ORCID 0009-0006-5994-354X
Salvatore GittoDepartment of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milano, Italy.ORCID 0000-0002-3623-7822
Carmelo MessinaDepartment of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milano, Italy.
Riccardo AccettaIRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157 Milano, Italy.
Luca Maria SconfienzaDepartment of Biomedical Sciences for Health, Università Degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milano, Italy.ORCID 0000-0003-0759-8431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated how using an artificial intelligence (AI)-based diagnostic tool impacts orthopaedists' accuracy in detecting fractures during night shifts without the support of on-site radiologists. We compared diagnostic discrepancies between orthopaedists and radiologists in recorded cases from our emergency department between September 2024 and June 2025. In February 2025, we introduced Gleamer BoneView

Indexed as

artificial intelligencedetectiondiagnostic accuracyfracturenight shiftorthopaedistradiographtrauma

Identifiers

PMID42346915
PMCPMC13302208

What OpenQuestion holds

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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.