ArticleTomography (Ann Arbor, Mich.)2026
Clinical Performance Tradeoffs of ChatGPT-5.2 Thinking (OpenAI) Compared with Radiologist Interpretation in Biopsy-Referred Mammography: Cancer Detection, False Positives, and Laterality.
Mohammad Alarifi, Areej Aloufi, Abdulrahman Jabour, Ahmad Abanomy, Haitham Alahmad, Khaled Alenazi, Alhanouf Alshedi, Mansour Almanaa
Abstract readMulticenter StudyComparative Study
In one paragraphArticle in Tomography (Ann Arbor, Mich.), 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Mohammad AlarifiRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0000-0002-8269-2367 Areej AloufiRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0000-0002-6646-6378 Abdulrahman JabourDepartment of Public Health, Faculty of Nursing and Health Science, Jazan University, P.O. Box 114, Jazan 45142, Saudi Arabia.ORCID 0000-0003-1397-582X Ahmad AbanomyRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0000-0002-9029-0368 Haitham AlahmadRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0000-0001-5614-5063 Khaled AlenaziRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0009-0006-2858-4759 Alhanouf AlshediRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0009-0002-8607-1338 Mansour AlmanaaRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.ORCID 0000-0002-3092-4795 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Breast NeoplasmsMammographyAdultAgedBiopsyBreastEarly Detection of CancerFalse Positive ReactionsFemaleHumansLarge Language ModelsMiddle AgedRadiologistsRetrospective StudiesSaudi ArabiaSensitivity and Specificityartificial intelligenceBI-RADSbreast cancerdiagnostic accuracymammographyreader study
Identifiers
PMID42042933
PMCPMC13120468
What OpenQuestion holds
Textmetadata
LicenceCC BY
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