Evidence map›Paper›PMID 37187617›Full record

ReviewFrontiers in cell and developmental biology2023

Advances in artificial intelligence models and algorithms in the field of optometry.

Suyu Wang, Yuke Ji, Wen Bai, Yun Ji, Jiajun Li, Yujia Yao, Ziran Zhang, Qin Jiang, Keran Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors.

Suyu WangDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Yuke JiDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Wen BaiDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Yun JiAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Jiajun LiDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Yujia YaoDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Ziran ZhangDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Qin JiangDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
Keran LiDepartment of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of computer science over the past few decades has led to unprecedented progress in the field of artificial intelligence (AI). Its wide application in ophthalmology, especially image processing and data analysis, is particularly extensive and its performance excellent. In recent years, AI has been increasingly applied in optometry with remarkable results. This review is a summary of the application progress of different AI models and algorithms used in optometry (for problems such as myopia, strabismus, amblyopia, keratoconus, and intraocular lens) and includes a discussion of the limitations and challenges associated with its application in this field.

Indexed as

amblyopiaartificial intelligenceartificial lenscorneal conusmyopiaoptometrystrabismus

Identifiers

PMID37187617
PMCPMC10175695

What OpenQuestion holds

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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.