Evidence map›Paper›PMID 34901091›Full record

ArticleFrontiers in medicine2021

Artificial Intelligence to Detect Meibomian Gland Dysfunction From

Ye-Ye Zhang, Hui Zhao, Jin-Yan Lin, Shi-Nan Wu, Xi-Wang Liu, Hong-Dan Zhang, Yi Shao, Wei-Feng Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
  7. Artificial intelligence in corneal diseases: A narrative review.Contact lens & anterior eye : the journal of the British Contact Lens Association · 2024
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Artificial intelligence-assisted diagnosis of ocular surface diseases.Frontiers in cell and developmental biology · 2023
    Review
  14. Article
  15. Review
  16. 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

8 authors.

Ye-Ye ZhangDepartment of Electronic Engineering, School of Science, Hainan University, Haikou, China.
Hui ZhaoDepartment of Ophthalmology, Shanghai First People's Hospital, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai, China.
Jin-Yan LinResearch Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
Shi-Nan WuJiangxi Centre of National Ophthalmology Clinical Research Center, Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Xi-Wang LiuResearch Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
Hong-Dan ZhangResearch Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
Yi ShaoJiangxi Centre of National Ophthalmology Clinical Research Center, Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Wei-Feng YangDepartment of Electronic Engineering, College of Engineering, Shantou University, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

convolution neural networkdeep learningDenseNet CNNin-vivo confocal microscopymeibomian gland dysfunction

Identifiers

PMID34901091
PMCPMC8655877

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.