Evidence map›Paper›PMID 36552954›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Deep Learning Approach in Image Diagnosis of

Ming-Tse Kuo, Benny Wei-Yun Hsu, Yi Sheng Lin, Po-Chiung Fang, Hun-Ju Yu, Yu-Ting Hsiao, Vincent S Tseng

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Emerging diagnostic modalities in microbial keratitis: Beyond culture and smear.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    Article
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

7 authors at 2 institutions in 1 country.

Ming-Tse KuoDepartment of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.ORCID 0000-0003-4159-0564
Benny Wei-Yun HsuDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.ORCID 0000-0003-2101-704X
Yi Sheng LinDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.
Po-Chiung FangDepartment of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.ORCID 0000-0003-0707-9658
Hun-Ju YuDepartment of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
Yu-Ting HsiaoDepartment of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.ORCID 0000-0001-5739-7967
Vincent S TsengDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.
Chang Gung University · TWNational Yang Ming Chiao Tung University · TW

Funding

Chang Gung Research Proposal CMRPG8K0111Chang Gung Research Proposal CORPG8L0021Ministry of Science and Technology, Taiwan MOST 109-2314-B-182A-018 -MY3
6 · The paper itself

Abstract

This investigation aimed to explore deep learning (DL) models' potential for diagnosing

Indexed as

artificial intelligencebacterial keratitisdeep learningensemble learningimage diagnosismachine learningmicrobial keratitisPseudomonas keratitis

Identifiers

PMID36552954
PMCPMC9777188
OpenAlexW4310037150

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.