Evidence map›Paper›PMID 41753360›Full record

ArticleJournal of clinical medicine2026

Impact of Large Language Model Assistance on Radiologists' Diagnostic Performance for Brain Tumors by Experience Level.

Chae Won Song, Byung Hyun Baek, Seul Kee Kim, Woong Yoon, Yun Young Lee, Ilwoo Park, Jae Hyun Park, Seol Bin Park, In Woo Choi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 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.

Chae Won SongDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.
Byung Hyun BaekDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.ORCID 0000-0002-8657-1052
Seul Kee KimDepartment of Radiology, Chonnam National University Medical School, Gwangju 61469, Republic of Korea.
Woong YoonDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.
Yun Young LeeDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.ORCID 0000-0002-1200-9462
Ilwoo ParkDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.
Jae Hyun ParkDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.
Seol Bin ParkDepartment of Radiology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea.ORCID 0000-0002-1497-1604
In Woo ChoiDepartment of Radiology, Chonnam National University Hwasun Hospital, Hwasun 58128, Republic of Korea.ORCID 0000-0003-4607-9909

Funding

Chonnam National University Hospital Biomedical Research Institute BCRI26035
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebrain tumorsChat Generative Pre-trained Transformer (ChatGPT)-4oClaude 3.5 Sonnetlarge language modelsmagnetic resonance imaging

Identifiers

PMID41753360
PMCPMC12941612

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.