Evidence map›Paper›PMID 33779342›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2021

Sounding out the hidden data: A concise review of deep learning in photoacoustic imaging.

Anthony DiSpirito, Tri Vu, Manojit Pramanik, Junjie Yao

Open access · greenAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Photoacoustic imaging aided with deep learning: a review.Biomedical engineering letters · 2022
    Review
  9. Review
  10. Perspective on fast-evolving photoacoustic tomography.Journal of biomedical optics · 2021
    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

4 authors at 2 institutions in 2 countries.

Anthony DiSpiritoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-3232-7353
Tri VuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Manojit PramanikSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore.ORCID 0000-0003-2865-5714
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Duke University · USNanyang Technological University · SG

Funding

High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
Whole-organ bioreactor with integrated nondestructive 3D molecular imagingR44HL138185 · NHLBI · SONOVOL, INC. · PI CZERNUSZEWICZ, TOMASZ JOSEPH, GESSNER, RYAN · 2017 to 2020
$2.2M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Transcranial Photoacoustic Imaging Using a Virtual ArrayR21EB027981 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI JING, YUN · 2020 to 2020
$455k
Photoacoustic-imaging-guided intravascular sonothrombolysisR21EB027304 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI JIANG, XIAONING, YAO, JUNJIE · 2019 to 2020
$411k
A turnkey research platform to accelerate clinical translation of focused-ultrasound (FUS) oncology therapiesR43CA239830 · NCI · SONOVOL, INC. · PI GESSNER, RYAN · 2019 to 2019
$300k
Development of a Longitudinal Molecular Imaging Platform to Support Immuno-Oncology ResearchR43CA243822 · NCI · SONOVOL, INC. · PI GESSNER, RYAN · 2019 to 2019
$244k
NCI NIH HHS R43 CA239830NCI NIH HHS R43 CA243822NHLBI NIH HHS R44 HL138185NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R21 EB027304NIBIB NIH HHS R21 EB027981NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

The rapidly evolving field of photoacoustic tomography utilizes endogenous chromophores to extract both functional and structural information from deep within tissues. It is this power to perform precise quantitative measurements

Indexed as

AnimalsArtificial IntelligenceBrainDeep LearningHumansImage Processing, Computer-AssistedNeoplasmsPhotoacoustic TechniquesSignal Processing, Computer-Assistedartificial intelligenceconvolutional neural networksdeep learningphotoacoustic computed tomographyphotoacoustic microscopyPhotoacoustic tomography

Identifiers

PMID33779342
PMCPMC8243210
OpenAlexW3149049473

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.