Evidence map›Paper›PMID 42279550›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Minjeong Kim, Dongjoon Yoo, Eunbi Noh, Yongwook Jeong, Minsoo Kim, Kyung-Jae Cho, Mincheol Kim, You Dong Sohn, Gyu Chong Cho

Abstract read
In one paragraph

Article in Diagnostics (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

9 authors.

Minjeong KimDivision of Pulmonology, Department of Internal Medicine, Shihwa Medical Center, Siheung 15063, Republic of Korea.
Dongjoon YooDepartment of Critical Care Medicine and Emergency Medicine, Inha University Hospital, Incheon 22332, Republic of Korea.ORCID 0000-0002-8239-8977
Eunbi NohVUNO Inc., Seoul 06164, Republic of Korea.
Yongwook JeongDepartment of Emergency Medicine, Naeun Hospital, Incheon 21565, Republic of Korea.
Minsoo KimVUNO Inc., Seoul 06164, Republic of Korea.ORCID 0009-0001-4994-7583
Kyung-Jae ChoVUNO Inc., Seoul 06164, Republic of Korea.
Mincheol KimVUNO Inc., Seoul 06164, Republic of Korea.ORCID 0000-0002-9782-3665
You Dong SohnDepartment of Emergency Medicine, School of Medicine, Hallym University, Seoul 05355, Republic of Korea.ORCID 0000-0001-8789-0090
Gyu Chong ChoDepartment of Emergency Medicine, School of Medicine, Hallym University, Seoul 05355, Republic of Korea.ORCID 0000-0001-9228-3674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceclinical deteriorationDeepCARSdeep learningearly warning scorein-hospital cardiac arrestlow resource hospitalpatient outcome assessmentreal-world evidenceresource-constrained settingssecondary care

Identifiers

PMID42279550
PMCPMC13257196

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.