Evidence map›Paper›PMID 36568545›Full record

ArticleFrontiers in cardiovascular medicine2022

Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care.

Ke-Wei Chen, Yu-Chen Wang, Meng-Hsuan Liu, Being-Yuah Tsai, Mei-Yao Wu, Po-Hsin Hsieh, Jung-Ting Wei, Edward S C Shih, Yi-Tzone Shiao, Ming-Jing Hwang and 3 more

Open access · goldAbstract readPublished Erratum
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. 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
0.8field-weighted citation impact, top 27% of its field
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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Ke-Wei ChenDivision of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
Yu-Chen WangDivision of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
Meng-Hsuan LiuAI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
Being-Yuah TsaiAI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
Mei-Yao WuSchool of Post-Baccalaureate Chinese Medicine, China Medical University, Taichung, Taiwan.
Po-Hsin HsiehEver Fortune AI Co., Ltd., Taichung, Taiwan.
Jung-Ting WeiDivision of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
Edward S C ShihInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Yi-Tzone ShiaoCenter of Institutional Research and Development, Asia University, Taichung, Taiwan.
Ming-Jing HwangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Ya-Lun WuAI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
Kai-Cheng HsuAI Center for Medical Diagnosis, China Medical University Hospital, Taichung, Taiwan.
Kuan-Cheng ChangDivision of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
China Medical University Hospital · TWChina Medical University · TWInstitute of Biomedical Sciences, Academia Sinica · TWAsia University · TWFortune Institute of Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fcvm.2022.1001982.].

Indexed as

artificial intelligence (AI)contact-to-balloon (C2B) timeconvolutional neural network and long short-term memory (CNN-LSTM)prehospital 12-lead ECGsST-elevation myocardial infarction (STEMI)

Identifiers

PMID36568545
PMCPMC9780667
OpenAlexW4311959771

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.