Instructions for Authors

The Journal of Artificial Intelligence in Medical and Veterinary Sciences (JAIMVS) welcomes high-quality original research, reviews, methodological studies, case reports, short communications, and other scholarly contributions addressing the application, development, evaluation, and responsible use of artificial intelligence in medical and veterinary sciences.

Authors are expected to ensure that submitted manuscripts meet high standards of scientific rigor, ethical conduct, transparency, reproducibility, and responsible reporting.

These instructions should be read carefully before submitting a manuscript.

1. Online Submission

All manuscripts must be submitted electronically through the journal's online submission and peer-review system, eJManager.

Authors should submit their manuscripts through the JAIMVS Author Submission System:

Submit Your Manuscript to JAIMVS

Authors who do not already have an eJManager account must register before submitting a manuscript. Registered authors can log in to their account and follow the submission instructions provided by the system.

The online submission system is used for:

• New manuscript submissions
• Uploading revised manuscripts
• Submission of supplementary files
• Tracking the status of submitted manuscripts
• Communication with the editorial office during the peer-review process

The corresponding author is responsible for ensuring that all information entered into the submission system is accurate and complete and that all authors have approved the submitted manuscript.

The manuscript file and any supplementary materials should be uploaded through the eJManager submission system.

Important: Manuscripts submitted by email will not normally be considered. Authors should use the online submission system for all new submissions and revisions.

Submit Your Manuscript

Authors can access the JAIMVS submission system directly using the following link:

https://www.ejmanager.com/my/jaimvs/

Article Processing Charges (APC)

The Journal of Artificial Intelligence in Medical and Veterinary Sciences (JAIMVS) operates an article processing charge (APC) model to support the costs associated with manuscript processing, peer review administration, copyediting, production, online publication, website maintenance, and long-term dissemination of published articles.

APC Waiver Until the End of 2027

To support the establishment and international development of the journal, JAIMVS will not charge any Article Processing Charges (APCs) for manuscripts accepted for publication through December 31, 2027.

Accordingly, all manuscripts accepted for publication up to and including December 31, 2027, will be published free of charge.

APC from 2028

Beginning January 1, 2028, the standard Article Processing Charge will be:

USD 150 per accepted manuscript.

The APC is charged only after a manuscript has been accepted for publication. There are no submission fees or peer-review fees.

2. Scope of the Journal

JAIMVS considers manuscripts covering, but not limited to:

• Artificial intelligence in human medicine
• Artificial intelligence in veterinary medicine
• Machine learning and deep learning
• Generative artificial intelligence
• Large language models
• Natural language processing
• Computer vision
• Medical and veterinary imaging
• Diagnostic and predictive models
• Clinical decision-support systems
• Veterinary clinical decision-support systems
• Disease prediction and surveillance
• Epidemiological modeling
• Precision medicine and precision veterinary medicine
• Precision agriculture and animal health applications
• Bioinformatics and computational biology
• Digital pathology
• Radiology and diagnostic imaging
• Drug and vaccine discovery
• Genomics and proteomics
• One Health applications of AI
• Public health and veterinary public health
• Artificial intelligence in laboratory diagnostics
• Robotics and intelligent systems
• AI-assisted surgery and clinical procedures
• Animal behavior monitoring
• Livestock health and production
• AI applications in infectious diseases
• AI ethics, governance, fairness, and accountability
• Explainable and interpretable artificial intelligence
• AI validation, benchmarking, and reproducibility
• AI safety and risk assessment
• Human–AI interaction in healthcare and veterinary practice
• Other interdisciplinary applications of AI relevant to medical and veterinary sciences

3. Types of Manuscripts

JAIMVS considers the following categories:

3.1 Original Research Articles

Original Research Articles report novel findings based on experimental, observational, clinical, veterinary, computational, epidemiological, or methodological research.

Original Research Articles should normally include:

1. Title
2. Abstract
3. Keywords
4. Introduction
5. Materials and Methods
6. Results
7. Discussion
8. Conclusions
9. Acknowledgments, if applicable
10. Funding
11. Conflict of Interest
12. Author Contributions
13. Data Availability
14. Ethical Approval, where applicable
15. References

The structure may be modified when scientifically justified.

3.2 Review Articles

Review Articles should provide a comprehensive and critical analysis of an important topic within the journal's scope.

Systematic reviews and meta-analyses should clearly describe the search strategy, study selection, eligibility criteria, data extraction, quality assessment, and synthesis methods.

Authors should follow appropriate reporting guidelines for the type of review being submitted.

3.3 Systematic Reviews and Meta-Analyses

Systematic reviews and meta-analyses should follow internationally recognized reporting standards, such as PRISMA, where applicable.

Authors should provide sufficient methodological information to allow readers to understand and reproduce the review process.

3.4 Short Communications

Short Communications present concise but important findings that warrant rapid communication but do not require the length of a full Original Research Article.

3.5 Case Reports

Case Reports describing clinically, diagnostically, technologically, or scientifically significant cases may be considered, particularly where artificial intelligence has an important role in diagnosis, prediction, monitoring, treatment, or decision support.

Case Reports should generally include:

• Title
• Abstract
• Keywords
• Introduction
• Case Description
• Diagnostic/AI Methodology, where applicable
• Results or Outcome
• Discussion
• Conclusion
• Ethical/Consent Statement
• References

3.6 Methodological and Technical Articles

JAIMVS welcomes manuscripts describing new algorithms, computational methods, AI architectures, datasets, software, analytical frameworks, validation methods, or other technological developments relevant to medical or veterinary sciences.

Such manuscripts should provide sufficient methodological and technical information to facilitate independent evaluation and, where possible, reproducibility.

3.7 Letters to the Editor

Letters may address issues arising from articles published in JAIMVS, provide scientifically important observations, or present concise perspectives relevant to the journal.

Letters commenting on previously published articles may be forwarded to the original authors for response.

4. Originality and Exclusive Submission

Manuscripts submitted to JAIMVS must be original and must not have been published previously, except where the journal explicitly permits the submission of material that has been appropriately identified and disclosed.

A manuscript submitted to JAIMVS must not be under consideration by another journal simultaneously.

By submitting a manuscript, the authors confirm that:

• The work is original.
• The manuscript has not been published elsewhere.
• The manuscript is not simultaneously under consideration by another journal.
• All authors have approved the submitted version.
• All authors agree to its submission to JAIMVS.
• Appropriate permissions have been obtained for copyrighted material.
• All relevant ethical requirements have been fulfilled.

Duplicate publication, redundant publication, and substantial overlap with previously published work must be disclosed to the Editor-in-Chief.

5. Authorship

Authorship should reflect substantial intellectual contributions to the work.

JAIMVS follows internationally recognized authorship principles. An author should have made substantial contributions to the conception or design of the work, acquisition, analysis, or interpretation of data; participated in drafting or critically revising the manuscript; approved the final version; and agreed to be accountable for the work.

All individuals listed as authors must meet the journal's authorship requirements.

Individuals who contributed to the work but do not qualify for authorship should be acknowledged appropriately.

The corresponding author is responsible for ensuring that:

• All eligible authors are included.
• No inappropriate or honorary authors are included.
• All authors have approved the final manuscript.
• Author names and affiliations are entered correctly.
• Author contributions are accurately reported.

Changes to authorship after submission require an explanation and approval from all affected authors.

6. Author Contributions

Authors should provide a clear description of individual contributions.

Contributions may include:

• Conceptualization
• Methodology
• Software
• Data curation
• Formal analysis
• Investigation
• Validation
• Visualization
• Writing – original draft
• Writing – review and editing
• Supervision
• Project administration
• Funding acquisition

The corresponding author should ensure that the contribution statement accurately represents the work performed by each author.

7. Use of Artificial Intelligence by Authors

Because JAIMVS specializes in artificial intelligence, the journal requires particularly transparent reporting of AI-assisted tools.

Authors may use artificial intelligence tools to assist with activities such as:

• Language improvement
• Grammar and spelling correction
• Translation
• Formatting assistance
• Literature organization
• Coding assistance
• Data visualization
• Other clearly disclosed supportive tasks

However, AI tools must not replace the authors' scientific responsibility.

Authors remain fully responsible for:

• The accuracy of the manuscript
• The originality of the work
• The validity of the analysis
• The interpretation of results
• The accuracy of references
• The integrity of data
• The conclusions
• Compliance with ethical requirements
• Any content generated or modified using AI

AI systems cannot be listed as authors because they cannot assume responsibility for the manuscript.

Authors must disclose substantive use of generative AI or other AI tools in the manuscript, where applicable. The disclosure should identify the tool used and describe its role.

AI-generated material should not be presented as independently verified scientific evidence.

Authors must carefully verify AI-generated text, references, data, code, analyses, and claims before submission.

8. AI-Specific Reporting Requirements

Manuscripts that develop, train, evaluate, or apply an AI model should provide sufficient information to allow readers and reviewers to understand and assess the model.

Where applicable, authors should report:

• The AI model or algorithm used
• Model architecture
• Software and programming environment
• Version numbers
• Training procedures
• Validation procedures
• Testing procedures
• Dataset characteristics
• Dataset size
• Inclusion and exclusion criteria
• Data preprocessing
• Feature selection
• Missing-data handling
• Hyperparameter selection
• Training/validation/test splitting
• External validation, where available
• Performance metrics
• Confidence intervals, where appropriate
• Baseline or comparator methods
• Error analysis
• Potential sources of bias
• Model limitations
• Reproducibility information

For machine-learning studies, authors should clearly distinguish between training, validation, and independent test datasets.

Where possible, authors are encouraged to provide access to datasets, source code, model weights, protocols, or other materials necessary to reproduce the research, subject to ethical, legal, privacy, and intellectual-property restrictions.

9. Generative AI and Large Language Models

For manuscripts involving generative AI or large language models, authors should provide sufficient information to identify the technology and its role in the research.

Where applicable, authors should report:

• Name of the AI system or model
• Model version
• Provider or developer
• Date or period of access
• Relevant model settings
• Prompting or interaction methodology, where scientifically relevant
• Data used for evaluation or fine-tuning
• Human validation procedures
• Evaluation criteria
• Known limitations and potential biases

For rapidly changing AI systems, authors should provide enough information to make the reported experiment understandable and reproducible at the time of publication.

10. Ethical Approval

Research involving human participants, human data, animals, veterinary patients, or identifiable biological materials must comply with applicable ethical standards.

Human Research

Research involving human participants must have received appropriate approval from a recognized ethics committee or institutional review board, where required.

The manuscript should state:

• The name of the approving ethics committee
• Approval/reference number, where available
• Date of approval, where applicable

Informed consent should be obtained when required.

Animal and Veterinary Research

Research involving animals must comply with applicable institutional, national, and international standards for animal welfare.

The manuscript should identify the relevant animal ethics committee or institutional authority and provide the approval/reference number where applicable.

Authors should describe measures taken to minimize animal suffering and unnecessary use of animals.

Veterinary Clinical Cases

For case reports involving identifiable animals or client-owned animals, appropriate owner consent should be obtained where required.

11. Patient and Data Privacy

Authors must protect the privacy and confidentiality of patients, animal owners, research participants, and other identifiable individuals.

Personal identifiers should not be included unless scientifically necessary and appropriately authorized.

Medical and veterinary images must be reviewed carefully to ensure that unnecessary identifying information is removed.

AI research involving sensitive medical, veterinary, genomic, imaging, or personal data must comply with applicable privacy and data-protection requirements.

12. Informed Consent

Where applicable, manuscripts should include a statement confirming that informed consent was obtained.

For human research, consent should be obtained in accordance with applicable ethical requirements.

For identifiable case reports, appropriate consent for publication should be obtained.

For veterinary case reports involving client-owned animals, owner consent should be obtained when required.

13. Manuscript Preparation

Manuscripts should be written in clear, concise American English.

Authors are responsible for ensuring that the manuscript is grammatically and scientifically understandable.

The manuscript should normally be prepared using a standard word-processing format.

Authors should use:

• A clear, readable font
• Double spacing
• Continuous line numbering
• Page numbers
• Standard margins
• Clear section headings

Manuscripts should be submitted as editable files.

14. Title Page

The Title Page should include:

1. Full manuscript title
2. Full names of all authors
3. Institutional affiliations
4. Department, institution, city, and country
5. ORCID identifiers, where available
6. Corresponding author's name
7. Corresponding author's institutional address
8. Corresponding author's email address
9. Telephone number, where required
10. Word count, where applicable
11. Number of tables and figures
12. Funding information
13. Conflict of interest statement

The title should be concise, informative, and accurately reflect the content of the manuscript.

15. Abstract

Original Research Articles should normally include a structured abstract.

A recommended structure is:

• Background
• Objective/Aim
• Methods
• Results
• Conclusion

For AI-focused studies, the Methods and Results should clearly indicate the principal AI methodology and its main performance findings.

The abstract should be understandable without reference to the main manuscript.

References should generally not be included in the abstract.

Authors should provide 3–6 keywords following the abstract.

Keywords should be specific and relevant to the subject of the manuscript.

16. Introduction

The Introduction should:

• Clearly establish the scientific or clinical problem.
• Provide appropriate background information.
• Explain the rationale for the study.
• Identify relevant gaps in existing knowledge.
• State the objective or research question.

The Introduction should be concise and supported by appropriate references.

17. Materials and Methods

The Methods section must contain sufficient information to allow qualified researchers to understand and, where reasonably possible, reproduce the study.

Authors should describe:

• Study design
• Study setting
• Study population or experimental material
• Data sources
• Inclusion and exclusion criteria
• Sample size and sampling procedures
• Experimental procedures
• Statistical methods
• AI methodology, where applicable
• Software and hardware
• Model training and validation
• Ethical approval
• Data management
• Relevant quality-control procedures

Previously published methods may be referenced, but important modifications must be described clearly.

18. Results

The Results section should present the findings clearly and logically.

Results should be reported without unnecessary interpretation.

Where AI models are evaluated, authors should provide appropriate performance measures and statistical uncertainty where applicable.

Examples of performance measures may include:

• Accuracy
• Sensitivity
• Specificity
• Precision
• Recall
• F1 score
• Area under the ROC curve
• Mean absolute error
• Root mean square error
• Calibration measures
• Other appropriate task-specific metrics

The selected metrics should be appropriate for the research question and dataset.

19. Discussion

The Discussion should:

• Interpret the principal findings.
• Compare the results with relevant previous studies.
• Explain the scientific or clinical significance of the findings.
• Discuss strengths and limitations.
• Address potential sources of bias.
• Discuss implications for future research and practice.

For AI studies, the Discussion should consider issues such as model generalizability, interpretability, clinical or veterinary applicability, potential bias, data limitations, and external validity where relevant.

20. Conclusions

The Conclusions should provide a concise statement of the principal findings and their implications.

Conclusions should be supported by the results and should not make claims that exceed the evidence presented in the manuscript.

21. Statistical Analysis

Statistical methods should be described sufficiently to allow assessment of their appropriateness.

Authors should:

• Identify statistical tests used.
• State the statistical software and version, where relevant.
• Report appropriate measures of uncertainty.
• Define statistical significance where applicable.
• Avoid inappropriate multiple testing.
• Report effect estimates and confidence intervals where appropriate.

For AI studies, statistical comparisons between models should be justified and appropriately reported.

22. Tables

Tables should:

• Be numbered consecutively.
• Be cited in the text in numerical order.
• Have a concise and informative title.
• Be understandable without referring extensively to the main text.
• Define abbreviations in footnotes.
• Avoid unnecessary duplication of information presented in the text.

Tables should be editable and should not be submitted solely as images.

23. Figures and Illustrations

Figures should be numbered consecutively according to their order of citation.

Each figure should have a clear legend.

Figures should be of sufficient quality and resolution for publication.

Authors should ensure that:

• All figures are cited in the text.
• Figure legends are informative.
• Abbreviations and symbols are defined.
• Images are appropriately anonymized.
• Permission has been obtained for previously published material where required.

AI-generated images should be clearly identified and must not be presented as authentic experimental, clinical, pathological, radiological, or photographic evidence unless their nature is explicitly disclosed.

24. Supplementary Materials

Supplementary material may include:

• Additional tables
• Additional figures
• Extended methodological information
• Additional datasets
• Code
• Model information
• Supplementary analyses
• Videos
• Other relevant supporting material

Supplementary files may be subjected to peer review and should be submitted with the manuscript.

25. References

Authors are responsible for ensuring that all references are accurate, complete, and relevant.

References should be cited consistently throughout the manuscript.

JAIMVS recommends the use of a numbered reference system, with references numbered consecutively according to their first appearance in the text.

References should be identified in the text using Arabic numerals in square brackets, for example:

Artificial intelligence has increasingly been applied to medical diagnosis [1].

Multiple references may be cited as:

Several studies have reported similar findings [2–5].

Authors should verify references against the original publications whenever possible.

Authors should avoid citing retracted articles unless the retraction itself is the subject of discussion.

26. Funding

All sources of financial support must be declared.

The funding statement should identify:

• Name of the funding organization
• Grant or project number, where applicable
• Role of the funder, where applicable

If no specific funding was received, authors may state:

Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

27. Conflict of Interest

All authors must disclose any financial or non-financial relationships that could reasonably be perceived as influencing the research.

If no conflict exists, authors should state:

Conflict of Interest: The authors declare that they have no conflict of interest.

For AI research, authors should additionally disclose relevant relationships with AI software developers, technology companies, dataset providers, or commercial entities when applicable.

28. Data Availability

Authors should provide a Data Availability Statement.

Examples include:

Data Availability: All data supporting the findings of this study are available within the article and its supplementary materials.

or:

Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Where data cannot be openly shared because of privacy, ethical, legal, or contractual restrictions, the reason should be clearly stated.

29. Code and Software Availability

For computational and AI studies, authors are encouraged to provide access to source code, algorithms, software, model specifications, or other computational resources necessary to reproduce the research, when legally and ethically possible.

Where code is publicly available, authors should provide the appropriate repository or persistent identifier.

If code cannot be shared, authors should explain the reason.

30. Preprints

Authors should disclose whether the manuscript or a substantially similar version has previously been posted as a preprint.

Posting a manuscript as a preprint does not automatically constitute prior journal publication; however, authors must disclose the preprint during submission.

31. Previously Published Material and Permissions

Authors must obtain permission to reproduce copyrighted material where required.

Material reproduced from another publication must be appropriately cited and accompanied by the necessary permission.

Authors should not submit material that substantially duplicates previously published work without full disclosure.

32. Peer Review

All manuscripts submitted to JAIMVS are subject to editorial assessment.

The editorial process generally includes:

1. Initial editorial screening
2. Assessment of scientific scope and suitability
3. Assessment of basic ethical and reporting requirements
4. Peer review
5. Editorial decision
6. Revision, where required
7. Final editorial assessment
8. Copyediting and production
9. Publication

The journal may use external reviewers with appropriate expertise in the subject area.

Possible editorial decisions include:

• Accept
• Minor Revision
• Major Revision
• Reject

The Editor-in-Chief and Editorial Board retain final responsibility for publication decisions.

33. Reporting Guidelines

Authors should use appropriate reporting guidelines for their study design.

Examples include:

• CONSORT for randomized clinical trials
• STROBE for observational studies
• PRISMA for systematic reviews and meta-analyses
• STARD for diagnostic accuracy studies
• CARE for case reports
• Other relevant reporting guidelines according to the study design

For AI-related research, authors should also consider applicable AI-specific reporting and evaluation frameworks.

Where appropriate, authors should provide completed reporting checklists as supplementary files.

34. Research Integrity and Scientific Misconduct

JAIMVS does not tolerate:

• Fabrication of data
• Falsification of data
• Plagiarism
• Duplicate publication
• Image manipulation intended to mislead
• Manipulation of citations
• Inappropriate authorship
• Undisclosed conflicts of interest
• Fabricated references
• Peer-review manipulation
• Misrepresentation of AI-generated material
• Fabrication or alteration of AI-generated research outputs

Suspected misconduct may be investigated according to recognized publication-ethics standards.

The journal may request original data, analysis files, code, or other supporting information when necessary to investigate concerns.

35. Artificial Intelligence and Research Integrity

Authors using AI in research must ensure that AI-generated outputs are independently evaluated.

AI systems may produce:

• Incorrect information
• Fabricated references
• Biased results
• Inaccurate interpretations
• Reproducibility problems
• Privacy risks
• Unverifiable claims

Therefore, authors remain responsible for verifying all AI-assisted content before submission.

AI must not be used to fabricate, manipulate, or selectively alter research data, images, results, references, or scientific conclusions.

36. Generative AI Images and Research Data

AI-generated or AI-enhanced images must be clearly disclosed when their use could affect the interpretation of the research.

Authors must not use generative AI to create or substantially modify scientific images in a manner that misrepresents experimental observations.

For medical and veterinary imaging studies, authors must clearly distinguish authentic clinical or experimental images from synthetic or AI-generated images.

Any AI-based image processing that forms part of the research methodology must be described in sufficient detail in the Methods section.

37. Corrections and Retractions

If an error is identified after publication, authors should promptly notify the journal.

JAIMVS may publish corrections, expressions of concern, retractions, or other post-publication notices when appropriate.

Post-publication actions will be handled according to recognized publication-ethics principles.

38. Final Responsibility of Authors

Submission of a manuscript to JAIMVS indicates that the authors accept responsibility for the accuracy, integrity, originality, ethical conduct, and transparency of their work.

Authors are responsible for ensuring that all statements, data, analyses, references, figures, tables, software, and AI-assisted outputs presented in the manuscript are accurate and appropriately verified.

JAIMVS is committed to maintaining rigorous scientific standards while promoting responsible, transparent, reproducible, and ethical applications of artificial intelligence in medical and veterinary sciences.