Evidence map›Paper›PMID 42351940›Full record

ArticleBioengineering (Basel, Switzerland)2026

Machine Learning Prediction of Excess Relative Risk for Radiation-Induced Solid Thyroid Cancer Among Nuclear Medicine Healthcare Professionals: A Computational Modeling Study.

Mariem Chouchen, Chamseddine Barki, Ismail Dergaa, Halil İbrahim Ceylan, Andrea de Giorgio, Nicola Luigi Bragazzi, Hanene Boussi Rahmouni

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 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.

Mariem ChouchenResearch Laboratory of Biophysics and Medical Technologies, The Higher Institute of Medical Technologies, University of Tunis El Manar, Tunis 1002, Tunisia.
Chamseddine BarkiResearch Laboratory of Biophysics and Medical Technologies, The Higher Institute of Medical Technologies, University of Tunis El Manar, Tunis 1002, Tunisia.ORCID 0000-0002-6595-3211
Ismail DergaaHigh Institute of Sport and Physical Education of Ksar Said, University of Manouba, Mannouba 2010, Tunisia.ORCID 0000-0001-8091-1856
Halil İbrahim CeylanPhysical Education and Sports Teaching Department, Faculty of Sports Sciences, Atatürk University, Erzurum 25240, Türkiye.ORCID 0009-0005-2214-4667
Andrea de GiorgioArtificial Engineering, 80121 Naples, Italy.ORCID 0000-0001-6064-5634
Nicola Luigi BragazziDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0001-8409-868X
Hanene Boussi RahmouniResearch Laboratory of Biophysics and Medical Technologies, The Higher Institute of Medical Technologies, University of Tunis El Manar, Tunis 1002, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

absorbed dosecomputational modelingdecision treeexcess relative riskI-131 exposuremachine learningmultilayer perceptronnuclear medicineoccupational exposurerandom forestthyroid cancer

Identifiers

PMID42351940
PMCPMC13296021

What OpenQuestion holds

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LicenceCC BY
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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.