Evidence map›Paper›PMID 41745855›Full record

ArticleToxics2026

Uncovering Benzene Pollution Patterns Using an Interpretable, Setting-Aware Artificial Intelligence Approach.

Ivan Bešlić, Timea Bezdan, Gordana Jovanović, Silvije Davila, Gordana Pehnec, Snježana Herceg Romanić, Andreja Stojić, Mirjana Perišić

Abstract read
In one paragraph

Article in Toxics, 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

8 authors.

Ivan BešlićInstitute for Medical Research and Occupational Health, Ksaverska cesta 2, P.O. Box 291, 10001 Zagreb, Croatia.ORCID 0000-0002-6041-2299
Timea BezdanFaculty of Informatics and Computing, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia.ORCID 0000-0001-6938-6974
Gordana JovanovićInstitute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade, Serbia.ORCID 0000-0001-8657-423X
Silvije DavilaInstitute for Medical Research and Occupational Health, Ksaverska cesta 2, P.O. Box 291, 10001 Zagreb, Croatia.ORCID 0000-0002-3474-9883
Gordana PehnecInstitute for Medical Research and Occupational Health, Ksaverska cesta 2, P.O. Box 291, 10001 Zagreb, Croatia.ORCID 0000-0001-5155-1847
Snježana Herceg RomanićInstitute for Medical Research and Occupational Health, Ksaverska cesta 2, P.O. Box 291, 10001 Zagreb, Croatia.ORCID 0000-0003-2382-4734
Andreja StojićInstitute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade, Serbia.ORCID 0000-0002-5293-9533
Mirjana PerišićInstitute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade, Serbia.ORCID 0000-0002-8287-4136

Funding

Institute for Medical Research and Occupational Health, Zagreb, Croatia 533-03-23-0006Ministry of Education, Science and Technological Development of the Republic of SerbiaScience Fund of the Republic of Serbia 7373
6 · The paper itself

Abstract

We investigated benzene variability in an urban environment using an interpretable, setting-based artificial intelligence framework. A seven-year dataset (2017-2023) of hourly pollutant concentrations (benzene, NO

Indexed as

air pollutionexplainable artificial intelligencegaseous pollutantsmachine learningmetaheuristics

Identifiers

PMID41745855
PMCPMC12944871

What OpenQuestion holds

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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.