Evidence map›Paper›PMID 35111236›Full record

ArticleComputational and mathematical methods in medicine2022

Artificial Intelligence Algorithm-Based MRI in Evaluating the Treatment Effect of Acute Cerebral Infarction.

Xiaojie He, Guangxiang Liu, Chunying Zou, Rongrui Li, Juan Zhong, Hong Li

RetractedOpen access · hybridAbstract readComparative StudyRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Xiaojie HeDepartment of Emergency, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002 Heilongjiang, China.ORCID https://orcid.org/0000-0003-0478-6322
Guangxiang LiuDepartment of Neurology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002 Heilongjiang, China.ORCID https://orcid.org/0000-0001-8498-0971
Chunying ZouDepartment of Neurology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002 Heilongjiang, China.ORCID https://orcid.org/0000-0001-9310-0921
Rongrui LiDepartment of Orthopedics, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002 Heilongjiang, China.ORCID https://orcid.org/0000-0003-4583-7974
Juan ZhongDepartment of Neurology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002 Heilongjiang, China.ORCID https://orcid.org/0000-0002-8510-2529
Hong LiClinical Skills Center of the First Clinical College, Mudanjiang Medical University, Mudanjiang, 157011 Heilongjiang, China.ORCID https://orcid.org/0000-0003-2783-0939
First Affiliated Hospital of Jiamusi University · CNMudanjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study is aimed at exploring the application of artificial intelligence algorithm-based magnetic resonance imaging (MRI) in the diagnosis of acute cerebral infarction, expected to provide a reference for diagnosis and effect evaluation of acute cerebral infarction. In this study, 80 patients diagnosed with suspected acute cerebral infarction per

Indexed as

AlgorithmsAcute DiseaseAgedAged, 80 and overArtificial IntelligenceBrainCerebral InfarctionComputational BiologyComputer SimulationDeep LearningFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID35111236
PMCPMC8803452
OpenAlexW4207081184

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.