Elsevier

Informatics in Medicine Unlocked Template

Write in a clean editor, then format for Informatics in Medicine Unlocked in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Informatics in Medicine Unlocked format

Informatics in Medicine Unlocked is a peer-reviewed journal published by Elsevier, covering Computational Drug Discovery Methods, AI in cancer detection, COVID-19 diagnosis using AI.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Informatics in Medicine Unlocked 12 (2023) 45–58.

Formats any DOI in Informatics in Medicine Unlocked style. No sign-up.

Publishes research inComputational Drug Discovery Methods AI in cancer detection COVID-19 diagnosis using AI Artificial Intelligence in Healthcare Machine Learning in Healthcare
ISSN2352-9148
Citation impact (2-yr)8.03
h-index91
i10-index817
Total citations40,414
Article processing charge$1,400
Open accessYes
Top institutions publishing hereImam Abdulrahman Bin Faisal University
Journal websitewww.journals.elsevier.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Informatics in Medicine Unlocked per year

1
2012
3
2015
20
2016
59
2017
67
2018
128
2019
218
2020
293
2021
296
2022
280
2023
168
2024
113
2025

Citation impact of Informatics in Medicine Unlocked by publication year

1
2012
130
2015
745
2016
2.2K
2017
1.9K
2018
5.4K
2019
10.2K
2020
7.4K
2021
5.7K
2022
3.7K
2023
2.1K
2024
374
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Informatics in Medicine Unlocked

A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

Mohammad Rahimzadeh, Abolfazl Attar · 1 Jan 2020

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains 180 X-ray images that belong to persons infected with COVID-19, and we attempted to apply methods to achieve the best possible results.…

Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques

C. Beulah Christalin Latha, S. Carolin Jeeva · 1 Jan 2019

Machine learning involves artificial intelligence, and it is used in solving many problems in data science. One common application of machine learning is the prediction of an outcome based upon existing data. The machine learns patterns from the existing dataset, and then applies them to an unknown dataset in order to predict the outcome. Classification…

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf · 1 Jan 2020

Nowadays, automatic disease detection has become a crucial issue in medical science due to rapid population growth. An automatic disease detection framework assists doctors in the diagnosis of disease and provides exact, consistent, and fast results and reduces the death rate. Coronavirus (COVID-19) has become one of the most severe and acute diseases in recent…

Diabetic retinopathy detection through deep learning techniques: A review

Wejdan L. Alyoubi, Wafaa M. Shalash, Maysoon Abulkhair · 1 Jan 2020

Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes lesions on the retina that effect vision. If it is not detected early, it can lead to blindness. Unfortunately, DR is not a reversible process, and treatment only sustains vision. DR early detection and treatment can significantly reduce the risk of vision loss.…

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

Ali Imran, Iryna Posokhova, Haneya N. Qureshi et al. · 1 Jan 2020

BACKGROUND: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that…

Informatics in Medicine Unlocked template — frequently asked questions

How do I write a paper in the Informatics in Medicine Unlocked format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Informatics in Medicine Unlocked template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Informatics in Medicine Unlocked use?
Informatics in Medicine Unlocked uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Informatics in Medicine Unlocked 12 (2023) 45–58.
Do I need to know LaTeX to submit to Informatics in Medicine Unlocked?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Informatics in Medicine Unlocked document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Informatics in Medicine Unlocked template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Informatics in Medicine Unlocked format with correct headings, figures, tables, and numbered citations.
Who publishes Informatics in Medicine Unlocked?
Informatics in Medicine Unlocked is a multidisciplinary journal published by Elsevier. DocuGuru's Informatics in Medicine Unlocked template matches Elsevier's official submission format.
Can I export a submission-ready Informatics in Medicine Unlocked PDF?
Yes — DocuGuru produces a PDF built with the official Informatics in Medicine Unlocked template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Informatics in Medicine Unlocked template cost?
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