Evidence map›Paper›PMID 41951928›Full record

ArticleEmergency radiology2026

Clinical evaluation of an AI-based pneumonia detection system on chest CT: a qualitative and quantitative analysis.

Hamza Sekkat, Youssef Madkouri, Abdellah Khallouqi, Mohammed Talbi, Oussama El Mouden, Abdellah Halimi, Omar El Rhazouani, Youssef El Merabet, Farida Bentayeb

Abstract read
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In one paragraph

Article in Emergency radiology, 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

9 authors.

Hamza SekkatSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco. sekkat.isss@uhp.ac.ma.ORCID http://orcid.org/0009-0005-1530-4837
Youssef MadkouriLaboratory of Electronic Systems, Information Processing, Mechanics and Energetics, Faculty of Sciences, University Ibn Tofail Kenitra, Kenitra, Morocco.
Abdellah KhallouqiSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
Mohammed TalbiHigher Institute of Nursing Professions and Health Techniques, Rabat, Morocco.
Oussama El MoudenSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
Abdellah HalimiSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
Omar El RhazouaniSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
Youssef El MerabetLaboratory of Electronic Systems, Information Processing, Mechanics and Energetics, Faculty of Sciences, University Ibn Tofail Kenitra, Kenitra, Morocco.
Farida BentayebLPHE-Modeling and Simulation, Faculty of Sciences, Mohammed V University, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceChest computed tomographyDecision supportDiagnostic accuracyPneumonia

Identifiers

PMID41951928

What Socratic holds

Textmetadata
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 Socratic graph.