Evidence map›Paper›PMID 37626734›Full record

ArticleBiomedicines2023

Prediction of Visual Acuity in Pathologic Myopia with Myopic Choroidal Neovascularization Treated with Anti-Vascular Endothelial Growth Factor Using a Deep Neural Network Based on Optical Coherence Tomography Images.

Migyeong Yang, Jinyoung Han, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Jeewoo Yoon, Seong Choi, Gyudeok Hwang, Daniel Duck-Jin Hwang

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Artificial intelligence in ophthalmology clinical trials: a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  3. 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 at 4 institutions in 1 country.

Migyeong YangDepartment of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03603, Republic of Korea.ORCID 0000-0002-3569-9558
Jinyoung HanDepartment of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03603, Republic of Korea.ORCID 0000-0002-8911-2791
Ji In ParkDepartment of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon 24341, Gangwon-do, Republic of Korea.ORCID 0000-0003-4662-3759
Joon Seo HwangSeoul Plus Eye Clinic, Seoul 01751, Republic of Korea.
Jeong Mo HanSeoul Bombit Eye Clinic, Sejong 30127, Republic of Korea.
Jeewoo YoonDepartment of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03603, Republic of Korea.
Seong ChoiDepartment of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03603, Republic of Korea.
Gyudeok HwangDepartment of Ophthalmology, Hangil Eye Hospital, Incheon 21388, Republic of Korea.ORCID 0000-0002-1108-9966
Daniel Duck-Jin HwangDepartment of Ophthalmology, Hangil Eye Hospital, Incheon 21388, Republic of Korea.ORCID 0000-0003-1808-3169
Sungkyunkwan University · KRNune Eye Hospital · KRKangwon National University Hospital · KROnnuri Smile Eye Clinic · KR

Funding

National Research Foundation of Korea 2021R1A4A3022102National Research Foundation of Korea 2023R1A2C2007625National Research Foundation of Korea NRF-2022R1F1A1074063
6 · The paper itself

Abstract

Myopic choroidal neovascularization (mCNV) is a common cause of vision loss in patients with pathological myopia. However, predicting the visual prognosis of patients with mCNV remains challenging. This study aimed to develop an artificial intelligence (AI) model to predict visual acuity (VA) in patients with mCNV. This study included 279 patients with mCNV at baseline; patient data were collected, including optical coherence tomography (OCT) images, VA, and demographic information. Two models were developed: one comprising horizontal/vertical OCT images (H/V cuts) and the second comprising 25 volume scan images. The coefficient of determination (R

Indexed as

anti-vascular endothelial growth factormyopic choroidal neovascularizationoptical coherence tomographyvisual acuity

Identifiers

PMID37626734
PMCPMC10452208
OpenAlexW4385707621

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.