ArticleJournal of clinical medicine2026
Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach.
Jaewon Jang, Yong Jun Choi, Taeyong Sim, Ki-Byung Lee, Ji-Hyun Kim, Eun Young Cho, Yuhyun Choi, Sungsoo Hong, Bo Mi Jung, Soo-Jeong Kim and 2 more
Abstract read
In one paragraphArticle 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 itWhat 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
12 authors.
Jaewon JangAITRICS Corp, Seoul 06221, Republic of Korea.
Yong Jun ChoiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea.ORCID 0000-0002-6114-2059 Taeyong SimAITRICS Corp, Seoul 06221, Republic of Korea.
Ki-Byung LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University Medical Center, Chuncheon 24253, Republic of Korea.ORCID 0000-0001-9106-5528 Yuhyun ChoiAITRICS Corp, Seoul 06221, Republic of Korea.
Bo Mi JungDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea.
Soo-Jeong KimDepartment of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea.
Won Gi HongDepartment of Hospital Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea.ORCID 0009-0007-2673-0844 Jae Hwa ChoDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea.ORCID 0000-0002-3432-3997 Funding
Korea Health Industry Development Institute HI22C1580
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
clinical decision support systemclinical deteriorationdeep learningearly predictionin-hospital adverse events
Identifiers
PMID42513667
PMCPMC13413000
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390