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Author Guidelines

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Submission Guidelines & Policies 

Authors are invited to make a submission to this journal. All submissions will be assessed by an editor to determine whether they meet the aims and scope of this journal. Those considered to be a good fit will be sent for peer review before determining whether they will be accepted or rejected.

Before making a submission, authors are responsible for obtaining permission to publish any material included with the submission, such as photos, documents, and datasets. All authors identified on the submission must consent to be identified as an author. Where appropriate, research should be approved by an ethics committee in accordance with the study country's legal requirements.

An editor may desk reject a submission if it does not meet the minimum standards of quality. Before submitting, please ensure the study design and research argument are properly structured and articulated. The title should be concise, and the abstract should be able to stand on its own. This will increase the likelihood that reviewers will agree to review the paper. Once you're satisfied that your submission meets this standard, please follow the checklist below to prepare it.

 

1. REQUIRED FILES

Each submission must include:

  • Title Page File (separate Word document)

  • Main Manuscript File (blinded)

  • Tables File(s)

  • Figures (PowerPoint format)

  • Manuscript Highlights File

  • Required Documentation (as applicable to study type)

 

2. TITLE PAGE FILE SPECIFICATIONS

  1. Manuscript Title

  • Clear, concise, and reflective of content

  • No abbreviations unless standard

  1. Author Information

  • Full names with academic degrees

  • Institutional affiliations

  • Complete institutional addresses

  • Email addresses

  • ORCID identifier (mandatory for corresponding author, optional for others)

  1. Corresponding Author Details

  • Complete contact information

  • Institutional address

  • Telephone number

  • Email address

  • ORCID identifier (mandatory)

3. MANUSCRIPT TEMPLATES 

Please prepare your submission using the ASIDE templates: HERE

MAIN MANUSCRIPT STRUCTURE

  1. Blinding Requirements

  • Remove all author identification

  • Delete self-referential phrases

  1. Required Sections

a) Abstract (300 words maximum)

  • Structured format: Background, Methods, Results, Conclusions

  • No undefined abbreviations

  • No citations

b) Keywords

  • 3-6 keywords

c) Main Text

  • Introduction

  • Methods

  • Results

  • Discussion

  • Conclusions

New — a Declarations panel on the submission form. When you submit, you will see a Declarations step at For the Editors. It offers standard wording for each statement below that you can select and then edit, so you do not have to draft them from scratch. Using it is optional for now — the form will not stop you if you leave a statement blank — but anything you enter there is saved with your submission. Please continue to include the Declarations section in your manuscript as described here. Where a standard wording contains a slot in square brackets, such as [FULL NAME OF COMMITTEE], please fill it in: the form highlights any you leave, but it will not block your submission, and an unfilled slot publishes exactly as written.

d) Declarations

  • Conflicts of Interest — if there are none, write: “The authors declare that they have no competing interests.”

  • Ethics Approval/IRB Statement — give the full name of the approving committee and the approval number. If approval was waived or not required, say who determined that and why.

  • Informed Consent Statement — if no identifiable individual patient data are reported, write: “Not applicable. No identifiable individual patient data are reported.”

  • Funding Sources — name each funder and grant number. If there was no funding, write: “The authors received no specific funding for this work.”

  • Acknowledgements — optional. Omit this heading entirely if there is nothing to acknowledge.

  • Data Availability Statement (if not applicable, write the reason)

  • Large-Language Model (LLM) – Generative AI Use Statement — if no AI tools were used, write: “The authors declare that no generative artificial intelligence tools were used in the preparation of this manuscript.”
    Example: We have employed an advanced Large Language Model (LLM) to enhance and refine the English-language writing. This process focused solely on improving the text's clarity and style, without generating or adding any new information to the content.

  • Authors Contribution Statement (mandatory)
    Example: List each author's specific contributions using CRediT taxonomy (e.g., Conceptualization, Methodology, Software, etc.)

e) References

  • Vancouver citation style formatting

  • Every reference should have a DOI, and PMCID/PMID if available (if not available, please add URL)

  • Chronological citation order

 

4. FIGURES AND TABLES SPECIFICATIONS

  1. Figures

  • Format: PowerPoint files only (mandatory)

  • Dimensions:

    • Minimum: 1200 × 1200 pixels

    • Maximum: 3000 × 3000 pixels

    • Resolution: minimum 300 dpi

  • Each figure on a separate slide

  • Legend requirements:

    • Place below figure

    • Define all abbreviations

    • Explain any symbols or markers

    • Include scale bars where applicable

    • Color usage must be scientifically justified

  1. Tables

  • Format: Word document

  • Structure:

    • Clear, descriptive titles

    • No vertical lines

    • Consistent cell formatting

  • Legend requirements:

    • Place below table

    • Define all abbreviations

    • Explain any symbols or statistical notations

    • Include additional notes if necessary

Figure file format. Submit each figure both as the editable PowerPoint source and as a high-resolution TIFF or EPS export. The export must be at least 300 dpi at the size the figure will be printed (a single-column figure is about 3.3 inches wide, so at least 1000 pixels across; a full-width figure is about 6.9 inches, so at least 2100 pixels). Do not save a JPEG or PNG as a TIFF — that changes the container, not the resolution, and the figure will still be rejected. Export from the original application at the required size.

 

5. REQUIRED DOCUMENTATION BY MANUSCRIPT TYPE

  • Editorial, Review, Frontier, Field of Vision, Minireview, Letter to The Editor, Correction, Retraction Note
    None required.

  • Basic Science / Pre-Clinical Study

    • Clinical Trial Registration Statement (recommended where applicable)

    • Institutional Animal Care and Use Committee Statement (required for research involving animals)

    • ARRIVE Guidelines (required for basic research using animals)

  • Retrospective Study, Clinical Practice Study

    • Clinical Trial Registration Statement (required for any clinical research study)

    • Signed Informed Consent Form(s) (required for research involving human subjects where applicable)

  • Case Control Study, Observational Study, Retrospective Cohort Study

    • Clinical Trial Registration Statement (required for clinical research studies)

    • Signed Informed Consent Form(s) (required for research involving human subjects where applicable)

    • STROBE Statement (required for observational, case control, and retrospective cohort studies)

  • Clinical Trials Study, Prospective Study, Randomized Controlled Trial, Randomized Clinical Trial

    • Clinical Trial Registration Statement (required for any clinical research study)

    • Signed Informed Consent Form(s) (required for research involving human subjects where applicable)

    • CONSORT 2010 Statement (required for clinical trials and randomized studies)

  • Evidence-Based Medicine, Scientometrics, Systematic Review, Meta-Analysis

    • PRISMA 2020 Checklist (required for systematic reviews and meta-analyses)

  • Case Report

    • Signed Consent for Treatment Form(s) (required for case reports involving patient data where applicable)

    • CARE Checklist (required for all case reports)

 

6. AI AND MACHINE-LEARNING REPORTING REQUIREMENTS

These requirements apply to every manuscript that develops, validates, deploys or evaluates an artificial intelligence or machine-learning model. They are checked before a manuscript is sent for review.

Reporting checklist (upload as a supplementary file). TRIPOD+AI for prediction model development or validation; CONSORT-AI for randomised trials of an AI intervention; SPIRIT-AI for trial protocols; STARD-AI for diagnostic accuracy studies; CLAIM for medical imaging AI; DECIDE-AI for early-stage or decision-support evaluations; PRISMA 2020 for systematic reviews; SQUIRE 2.0 or StaRI for quality improvement and implementation studies.

The Methods section must state:

  1. Intended use — the clinical task, target population, care setting and the decision the model informs.
  2. Data provenance — sources, collection period, geography, institution type, inclusion and exclusion criteria, handling of missing data.
  3. Population composition — demographic composition of training, validation and test sets (age, sex, race or ethnicity, socioeconomic indicators, language where available), or an explanation of why these cannot be reported.
  4. Model specification — architecture or algorithm family, inputs and preprocessing, outputs, hyperparameters and version; for commercial or closed models, the exact product name, version and access date.
  5. Evaluation design — how training, validation and test data were separated, with explicit confirmation of no patient-level or institution-level leakage.
  6. Performance — discrimination and calibration with confidence intervals, plus a clinically meaningful measure such as net benefit, number needed to alert or false-alert rate at the operating threshold, and justification of the decision threshold.
  7. Subgroup performance — results disaggregated by the demographic groups above. A manuscript reporting only aggregate performance will be returned before review.
  8. Failure modes and limitations — where the model underperforms, known distribution shift or drift, and populations to which the results should not be extrapolated.
  9. Comparator — performance against standard of care, an existing validated model or a clinician baseline, wherever feasible.

Code and data availability. Analysis code must be deposited in a public repository with a persistent identifier, or the manuscript must state a specific reason why not. Where data cannot be shared, provide a data dictionary, synthetic or summary data, and instructions for legitimate access requests. “Data available on reasonable request” alone is not accepted.

Claims of clinical readiness. Models evaluated only on retrospective, single-institution, internally split data may be published, but the abstract and conclusions must describe the work as preliminary and must not claim clinical readiness or benefit.

Vendor relationships. Any commercial relationship with a vendor of a model or platform evaluated in the manuscript must be disclosed, and at least one author with no such relationship should have full access to the data and control over the decision to publish.

Generative AI used in preparing the manuscript. In addition to the Large-Language Model (LLM) – Generative AI Use Statement, authors confirm that they are fully responsible for the accuracy of all content produced with AI assistance, including every reference and quotation, and that no identifiable patient information was entered into any public or non-compliant AI tool.

Abstract. For manuscripts reporting a model, the Methods sentence of the abstract must state the data source, the number of patients or records, and whether the evaluation was internal or external.

7. REVISION REQUIREMENTS

  1. Revised Manuscript Versions

  • Version 1: Changes highlighted in yellow

  • Version 2: Clean copy

  1. Response to Reviewers

  • Point-by-point response

  • Page/line numbers for changes

  • Justification for declined suggestions

 

COMPLIANCE STATEMENT

Manuscripts that do not conform to these specifications will be returned without review. Authors must verify compliance with all requirements before submission. The editorial office maintains the right to reject manuscripts that do not meet these standards even after initial screening.

 

Author Charges Policy  

No Charges: Our journal does not impose any fees at any stage of the manuscript processing, from submission to publication, including:

  • Submission fees

  • Editorial processing charges

  • Article processing charges (APCs)

  • Page charges

  • Color charges

Fee Waivers: We do not currently offer fee waivers, as no charges apply.

Withdrawal Charges: There are no fees for withdrawing an article post-submission. However, authors are encouraged to carefully consider their submissions to avoid unnecessary processing.

 

Plagiarism Policy — ASIDE Artificial Intelligence in Healthcare

Commitment to Originality: We are committed to upholding the highest standards of publication ethics and integrity. As part of this commitment, all submissions are thoroughly checked for plagiarism before publication.

Similarity Screening: All submissions undergo similarity screening before peer review. Authors are encouraged to check their work for originality before submission. Screening output is interpreted by the editorial team alongside the manuscript itself; no single numerical score determines the outcome.

Acceptance Criteria: The similarity score must be below 25% to meet our publication criteria. Manuscripts exceeding this threshold may be rejected or returned to the author for modification after editorial assessment of flagged overlap.

Publication Timeline 

  • Journal Frequency: quarterly (four issues annually). Manuscripts are screened editorially, then sent to at least two independent reviewers under a double-anonymous model. The time to a first decision varies with subject area, reviewer availability and the number of revision rounds required. The journal does not offer expedited, fast-track or paid-priority review of any kind. Authors may contact the editorial office at any time to ask about the status of a manuscript. Accepted articles are published online ahead of print.

Authors can submit manuscripts at any time throughout the year. Accepted articles will be published online ahead of print.

 

Repository & Self-Archiving Policy  

Authors are permitted to deposit all versions of their article in any institutional, subject, or general-purpose repository of their choice, as well as on personal or departmental websites: Preprint (Author's Original), Author's Accepted Manuscript (AAM), and the Published Article/Version of Record (VoR). No embargo applies. Clearly label the deposited file with its version (e.g., "Preprint," "Accepted Manuscript," or "Version of Record").

Deposit may occur immediately upon submission, acceptance, or publication. No embargo is required or imposed by the journal.

Deposits may be made in institutional repositories (e.g., university repositories), subject repositories (e.g., discipline-specific servers), general repositories (e.g., Zenodo), and recognized preprint servers. Posting to an author's personal or departmental webpage is also allowed.

Deposited versions must display the article's open-access license and copyright notice exactly as shown on the journal website. Authors should include the full citation and DOI of the Version of Record wherever available.

Linking & citations

  • For preprints and AAMs, authors must add a prominent link to the Version of Record (VoR) once it is available, using the article DOI and include a note such as: "Now published in ASIDE Artificial Intelligence in Healthcare; see Version of Record."

  • Cite the VoR when referring to the final publication.

Version terminology (NISO JAV)

  • Preprint (Author's Original/Submitted Manuscript): before peer review

  • Author's Accepted Manuscript (AAM): after peer review, accepted, before publisher layout

  • Version of Record (VoR): the final, formally published version on the journal site

Preprints & prior posting
Posting a preprint does not count as prior publication. Authors may submit manuscripts that have been previously posted as preprints; we ask that repository records be updated to link to the VoR after publication.

 

ASIDE Crossmark Policy 

Permanency of content:
All articles published in ASIDE Journals receive a DOI and are permanently published. This applies regardless of the outcome of the peer review following publication.

All content, including articles that have not (yet) passed peer review, is permanently archived. All versions of all articles that have passed peer review will be archived in databases.

By applying the Crossmark policies, ASIDE Journals is committed to maintaining its content and alerting readers to any changes as they occur.

Clicking the Crossmark logo displays an article's current status and directs you to the latest published version; it may also provide additional information.

To maintain the integrity and completeness of the scholarly record, the following policies will be applied when published content needs to be corrected:

Correction to an Article
Where articles are peer-reviewed before publication, Corrections (or Errata) are published to alert readers to errors in the article that became apparent following the publication of the final article.

Retraction
Articles may be retracted for several reasons, including:

  • honest errors reported by the authors

  • research misconduct (data fabrication)

  • duplicate or overlapping publication

  • fraudulent use of data

  • clear plagiarism

  • unethical research

For any retracted article, the reason for retraction and who is instigating the retraction will be clearly stated in the Retraction notice. The retraction notice will be linked to the retracted article (which usually remains on the site), and the article will be clearly marked as retracted (including the PDF).

An article is usually only retracted at the author's request or by the publisher in response to an institutional investigation. In the context of ASIDE Journals' publication model, a retracted article is not "unpublished" or "withdrawn" in order for it to be published elsewhere.

Content removal is rare and occurs only where legal limitations apply (e.g., defamation, infringement, or a court order). In such cases, bibliographic information will be retained on the site with an explanation.

Under rare circumstances, if false or inaccurate data pose a serious health risk, incorrect version(s) may be removed and a corrected version published. The reason for partial removal will be clearly stated in the latest version.

Editorial Note
If there is a potential, not yet resolved, problem with an article, it may be appropriate to alert readers with an Editorial Note while investigations are ongoing, until a permanent resolution is reached (e.g., correction or retraction).

Submission Preparation Checklist

All submissions must meet the following requirements.

  • This submission meets the requirements outlined in the Author Guidelines.
  • This submission has not been previously published, nor is it before another journal for consideration.
  • All references have been checked for accuracy and completeness.
  • All tables and figures have been numbered and labeled.
  • Permission has been obtained to publish all photos, datasets and other material provided with this submission.
  • Where this submission reports an artificial intelligence or machine-learning model, the applicable reporting checklist (TRIPOD+AI, CONSORT-AI, SPIRIT-AI, STARD-AI, CLAIM or DECIDE-AI) is uploaded as a supplementary file.
  • Model performance is reported disaggregated by demographic subgroup, or the manuscript states explicitly why this was not possible.
  • Analysis code is deposited in a public repository with a persistent identifier, or the manuscript states a specific reason why it cannot be.

Original Research

Full-length reports of original studies that develop, validate, deploy or evaluate artificial intelligence or machine-learning systems in health and healthcare. Manuscripts must state the model's intended use and target population, report performance disaggregated by demographic subgroup, and include the applicable reporting checklist as a supplementary file. Structured abstract, 300 words.

Clinical Validation and Deployment Studies

Prospective, retrospective or pragmatic evaluations of artificial intelligence tools in live clinical settings, including external validation, silent trials, implementation studies, workflow integration and post-deployment monitoring. Reports of models that failed to replicate or were withdrawn are welcomed. Structured abstract, 300 words.

Systematic Reviews and Meta-Analyses

Systematic reviews, scoping reviews and meta-analyses of artificial intelligence applications in health, including reviews of model performance, reporting quality, bias and clinical impact. PRISMA 2020 is required. Structured abstract, 300 words.

Brief Reports

Concise reports of original work, including preliminary validations, single-site evaluations, negative results and short methodological notes. Maximum 2,000 words of main text, 2 tables or figures and 25 references. Structured abstract, 300 words.

Methods and Evaluation Frameworks

Papers advancing how health artificial intelligence is measured and appraised: evaluation designs, calibration and drift detection, fairness metrics, benchmarking, decision-curve and health-economic methods, and proposed reporting or governance frameworks. Structured abstract, 300 words.

Ethics, Policy, and Governance

Analyses of ethical, legal, regulatory and governance questions raised by artificial intelligence in health, including consent, accountability, liability, regulatory pathways, post-market surveillance and institutional oversight. Structured abstract, 300 words.

Case Reports in Clinical AI

Instructive single cases or short case series in which an artificial intelligence tool materially affected a clinical decision, including cases of model error, automation bias, near miss or harm. The CARE checklist and patient consent are required. Structured abstract, 300 words.

Perspectives and Viewpoints

Argued commentary on developments, controversies and future directions in health artificial intelligence. Unstructured abstract; no word limit on the abstract. Invited or unsolicited; peer review at the editor’s discretion.

Letters to the Editor

Brief correspondence on articles published in the journal, or short observations of interest to readers. Maximum 800 words and 10 references. Not peer reviewed; the authors of the original article are offered a right of reply.

Privacy Statement

ASIDE Artificial Intelligence in Healthcare Privacy Policy

Commitment to Privacy

At ASIDE Artificial Intelligence in Healthcare, we are committed to maintaining the trust and confidence of our authors, reviewers, editors, readers, and partners. This Privacy Policy explains how we collect, use, share, and protect personal information across our platforms, including our journal website, manuscript submission and peer-review system (OJS), and any services that link to this policy.

Scope of the Privacy Policy

This policy applies to services offered by ASIDE Artificial Intelligence in Healthcare, including our digital publishing platform, journal communications, and any events or programs that reference this document. This policy may be supplemented by additional terms presented at the point of collection. The controlling entity for personal information processed through our services is ASIDE (American Society for Inclusion, Diversity, and Equity in Healthcare), as described within our services and publisher information.

Collection of Information

We collect information through three primary methods:

  1. Direct Inputs
    Information you provide directly, such as:

  • Name, email, affiliation, and contact details

  • Login credentials and user profile information

  • Professional background (e.g., role, specialty, reviewer interests)

  • Manuscript submissions and related files, author metadata, and correspondence

  • Peer-review reports, editorial decisions, and communications

  • Payment or billing details (if applicable to a service you use)

  1. Institutional Data
    Information provided by affiliated institutions (where relevant) to support access, subscriptions, or participation, such as contact and registration details.

  2. Automated Technologies
    Information collected automatically through cookies and similar technologies, including:

  • IP address, browser type, device, and system information

  • Log data and usage analytics (pages viewed, time on site, clicks)

  • Session and performance data to maintain security and improve functionality

Use of Collected Information

We use personal information to operate and improve the journal and publishing services, including to:

  • Create and manage user accounts and provide access to OJS services

  • Process manuscript submissions, peer review, editorial decisions, and publication workflows

  • Communicate about submissions, reviews, publication status, and journal updates

  • Provide relevant content, guidance, and system notifications

  • Maintain platform integrity, detect abuse, and ensure security

  • Perform analytics, audits, quality improvement, and operational planning

  • Comply with legal obligations and enforce our policies

Sharing of Information

We may share personal information in limited situations, including:

  1. Editorial and Publishing Workflows

  • Author, reviewer, and editor information is shared within the submission and review process as required for editorial operations.

  • Published articles may include author names, affiliations, and other metadata as part of the scholarly record.

  1. Affiliates and Service Providers
    We may use trusted service providers (e.g., hosting, analytics, email delivery, DOI registration, and metadata services) who process data on our behalf and are expected to protect it appropriately.

  2. Institutional Administrators
    Where applicable, for managing institutional access, subscriptions, or service participation.

  3. Legal and Safety Requirements
    We may disclose information when required to comply with law, respond to lawful requests, protect rights and safety, or investigate misuse.

Your Rights and Choices

Depending on your location and applicable laws, you may have the right to:

  • Access, correct, or update your personal information

  • Request deletion of certain personal information (subject to publishing and record-keeping requirements)

  • Restrict or object to certain processing activities

  • Manage communication preferences (e.g., newsletters or announcements)

You can often update profile information directly in your OJS account. For additional requests, contact us using the information below.

Security and Retention

We use administrative, technical, and organizational safeguards to protect personal information against unauthorized access, loss, misuse, or alteration. We retain personal information only as long as necessary for editorial operations, publication integrity, legal compliance, and legitimate business purposes. Some information (e.g., publication metadata) may remain part of the permanent scholarly record.

International Data Transfers

Your information may be processed in countries where ASIDE or its service providers operate. Where international transfers occur, we apply appropriate safeguards to help protect your information consistent with this policy.

Changes to This Policy

We may update this Privacy Policy from time to time to reflect changes in practices, technology, or legal requirements. We will post the updated version on our journal platform and may provide additional notice for significant changes.

Contact Information

For questions, requests, or concerns regarding this Privacy Policy or data practices, please contact ASIDE using the contact details listed on the journal website in the Contact section.