Evidence map›Paper›PMID 40321995›Full record

ArticleBiomedical optics express2025

Quantitative assessment of

Chih-Hao Liu, Li-Wei Fu, Shu-Wen Chang, Yen-Jen Wang, Jen-Yu Wang, Yu-Hung Wu, Homer H Chen, Sheng-Lung Huang

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chih-Hao LiuGraduate Institute of Photonics and Optoelectronics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.ORCID https://orcid.org/0000-0003-0015-8652
Li-Wei FuGraduate Institute of Communication Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
Shu-Wen ChangGraduate Institute of Photonics and Optoelectronics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
Yen-Jen WangDepartment of Dermatology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan North Road, Taipei 104217, Taiwan.
Jen-Yu WangDepartment of Dermatology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan North Road, Taipei 104217, Taiwan.
Yu-Hung WuDepartment of Dermatology, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan North Road, Taipei 104217, Taiwan.
Homer H ChenGraduate Institute of Communication Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.ORCID https://orcid.org/0000-0002-8795-1911
Sheng-Lung HuangGraduate Institute of Photonics and Optoelectronics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.ORCID https://orcid.org/0000-0001-6244-1555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in cellular-resolution optical coherence tomography (OCT) have opened up possibilities for high-resolution and non-invasive clinical diagnosis. This study uses deep learning-based models on cross-sectional OCT images for

Identifiers

PMID40321995
PMCPMC12047727

What OpenQuestion holds

Textmetadata
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.