Evidence map›Paper›PMID 41970591›Full record

ArticleBiomedical optics express2026

Fusing photoacoustic microscopy and ultrasound imaging: an artificial intelligence strategy for vessel enhancement in interventional guidance.

Wenjie Yin, Yanping He, Yuxiang Chen, Zixi Liu, Jinjun Fang, Chaohao Liang, Zhen Yuan, Kun Qian, Wuyu Zhang, Jian Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Wenjie YinSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Yanping HeSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Yuxiang ChenSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Zixi LiuSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Jinjun FangSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Chaohao LiangSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Zhen YuanFaculty of Health Sciences, University of Macao, Macao 999078, China.ORCID https://orcid.org/0000-0003-3061-6263
Kun QianSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.
Wuyu ZhangMOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510631, China.
Jian ZhangSchool of Biomedical Engineering, Department of Plastic Surgery and Burn Surgery, Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 511436, Guangdong, China.ORCID https://orcid.org/0000-0002-9665-9322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vessel localization is a key component of ultrasound (US) -guided interventional procedures. However, US imaging faces challenges such as insufficient resolution and a low recognition rate in skin vessel detection. In this study, a photoacoustic (PA) -US multi-modal imaging enhancement framework is proposed. High-resolution vascular light absorption maps from photoacoustic microscopy (PAM) provide objective and accurate labels for US images. Accurate enhancement of blood vessels in skin US images is realized by neural networks driven by high-quality data sources. The results of our novel architecture (UIU-Net) on an

Identifiers

PMID41970591
PMCPMC13064631

What Socratic 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 Socratic graph.