Evidence map›Paper›PMID 35463254›Full record

ArticleComputational intelligence and neuroscience2022

Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence.

Jian Huang, Jing Li, Zheming Li, Zhu Zhu, Chen Shen, Guoqiang Qi, Gang Yu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 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 It has been retracted, and should not be counted.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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jian HuangDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.ORCID https://orcid.org/0000-0002-1955-4316
Jing LiDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.ORCID https://orcid.org/0000-0002-3626-5815
Zheming LiDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Zhu ZhuDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Chen ShenDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Guoqiang QiDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Gang YuDepartment of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.ORCID https://orcid.org/0000-0001-9935-9969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous development and improvement of artificial intelligence technology, machine learning technology has also been extensively developed, which has promoted the development of computer vision, image processing, natural language processing, and other fields.

Indexed as

Artificial IntelligenceMachine LearningAlgorithmsImage Processing, Computer-AssistedTechnology

Identifiers

PMID35463254
PMCPMC9020906

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.