Evidence map›Paper›PMID 41897607›Full record

ArticleDiagnostics (Basel, Switzerland)2026

AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study.

Yeonjeong Heo, Minkyu Kim, Seon-Sook Han, Tae-Hoon Kim, Jeongwon Heo, Dohyun Kim, Woo Jin Kim, Seung-Joon Lee, Oh Beom Kwon, Yoon Kim and 2 more

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

12 authors.

Yeonjeong HeoDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0002-8151-7970
Minkyu KimDepartment of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea.ORCID 0000-0003-1122-5363
Seon-Sook HanDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0002-1320-4163
Tae-Hoon KimInstitute of Medical Science, School of Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0009-0003-6855-8107
Jeongwon HeoDepartment of Pulmonology, Chinjujeil Hospital, Jinju 52709, Republic of Korea.
Dohyun KimDepartment of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea.ORCID 0009-0004-2626-0510
Woo Jin KimDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0003-2927-370X
Seung-Joon LeeDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0003-4597-0281
Oh Beom KwonDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0003-0084-2657
Yoon KimDepartment of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea.
Hyun-Soo ChoiDepartment of Research & Development, Ziovision Co., Ltd., Chuncheon 24341, Republic of Korea.ORCID 0000-0002-3594-8948
Da Hye MoonDepartment of Internal Medicine, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0001-5602-9572

Funding

Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea RS-2021-KH114109
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedischargemortalityreadmission

Identifiers

PMID41897607
PMCPMC13025911

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.