Evidence map›Paper›PMID 34124331›Full record

ArticleSoftwareX

CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research.

Orod Razeghi, José Alonso Solís-Lemus, Angela W C Lee, Rashed Karim, Cesare Corrado, Caroline H Roney, Adelaide de Vecchi, Steven A Niederer

Abstract read
In one paragraph

Article in SoftwareX. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  13. Computational Modeling and Simulation of the Fibrotic Human Atria.Methods in molecular biology (Clifton, N.J.) · 2024
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  14. Review
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  18. Anatomic, histologic, and mechanical features of the right atrium: implications for leadless atrial pacemaker implantation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
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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.

Orod RazeghiKing's College London, London, United Kingdom.
José Alonso Solís-LemusKing's College London, London, United Kingdom.
Angela W C LeeKing's College London, London, United Kingdom.
Rashed KarimKing's College London, London, United Kingdom.
Cesare CorradoKing's College London, London, United Kingdom.
Caroline H RoneyKing's College London, London, United Kingdom.
Adelaide de VecchiKing's College London, London, United Kingdom.
Steven A NiedererKing's College London, London, United Kingdom.

Funding

Department of Health II-LB-1116-20001Medical Research Council MR/S015086/1Wellcome Trust 203148
6 · The paper itself

Abstract

Personalised medicine is based on the principle that each body is unique and will respond to therapies differently. In cardiology, characterising patient specific cardiovascular properties would help in personalising care. One promising approach for characterising these properties relies on performing computational analysis of multimodal imaging data. An interactive cardiac imaging environment, which can seamlessly render, manipulate, derive calculations, and otherwise prototype research activities, is therefore sought-after. We developed the Cardiac Electro-Mechanics Research Group Application (CemrgApp) as a platform with custom image processing and computer vision toolkits for applying statistical, machine learning and simulation approaches to study physiology, pathology, diagnosis and treatment of the cardiovascular system. CemrgApp provides an integrated environment, where cardiac data visualisation and workflow prototyping are presented through a common graphical user interface.

Indexed as

Cardiovascular researchComputer visionImage processingInteractive platformMachine learningMedical imaging

Identifiers

PMID34124331
PMCPMC7610963

What OpenQuestion holds

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Registered trials

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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.