Evidence map›Paper›PMID 40649010›Full record

ArticleJournal of clinical medicine2025

Using a Deep Learning-Based Decision Support System to Predict Emergent Large Vessel Occlusion Using Non-Contrast Computed Tomography.

Seong-Joon Lee, Dohyun Kim, Dae Han Choi, Yong Su Lim, Gyuha Park, Sumin Jung, Soohwa Song, Ji Man Hong, Dong Hoon Shin, Myeong Jin Kim and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Seong-Joon LeeDepartment of Neurology, Ajou University School of Medicine, 164 World Cup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea.
Dohyun KimResearch Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.ORCID 0009-0002-7347-7398
Dae Han ChoiDepartment of Neurosurgery, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.
Yong Su LimDepartment of Emergency Medicine, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.ORCID 0000-0003-4390-4010
Gyuha ParkResearch Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.ORCID 0000-0001-5972-2559
Sumin JungResearch Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.
Soohwa SongResearch Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.ORCID 0000-0002-4723-5603
Ji Man HongDepartment of Neurology, Ajou University School of Medicine, 164 World Cup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-6803-1207
Dong Hoon ShinResearch Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.ORCID 0000-0002-1103-1983
Myeong Jin KimDepartment of Neurosurgery, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.ORCID 0000-0001-5855-5533
Jin Soo LeeDepartment of Neurology, Ajou University School of Medicine, 164 World Cup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea.ORCID 0000-0002-7225-6166

Funding

Heuron Co., Ltd. N/A
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceneurologyreperfusionstrokethrombectomy

Identifiers

PMID40649010
PMCPMC12250463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.