Circulation's AI Policy: AHA Journal Rules for Cardiovascular Authors
Circulation requires dual AI disclosure in both Methods and cover letter under AHA rules, prohibits AI authorship and AI-generated images, and bans clinical data processing through external AI tools.
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Cardiovascular research has a particular relationship with AI that most fields don't share. ECG interpretation algorithms, cardiac imaging analysis, atrial fibrillation detection from wearables, the cardiology community has been publishing AI research for over a decade. So when Circulation, the American Heart Association's flagship journal, formalized its AI policy for manuscript preparation, it was addressing an audience that already thinks about AI daily but hadn't considered how it applies to the writing process.
The AHA's AI policy
Circulation doesn't set its own AI policy in isolation. The American Heart Association established a publisher-wide AI policy that covers all AHA journals. Circulation, as the flagship, implements this policy with the editorial rigor you'd expect from a journal with an impact factor above 35.
The core rules:
- AI can't be an author. Same framework as ICMJE: AI tools can't take accountability, can't approve manuscripts, and can't meet authorship criteria. Circulation won't accept submissions listing AI tools as co-authors.
- AI use must be disclosed in the Methods section and the cover letter. This dual-disclosure requirement sets the AHA apart from some publishers. You need to describe AI use in your manuscript (Methods section) and flag it for the editor (cover letter).
- AI-generated images are prohibited. No figures, graphical abstracts, or visual content produced by generative AI tools.
- Authors are fully responsible. Every listed author must vouch for the accuracy of all content, including any sections where AI tools assisted.
- Clinical data can't be processed through external AI tools. This is particularly relevant for Circulation. Patient ECGs, cardiac imaging data, clinical trial outcomes, none of this should be input into cloud-based AI tools like ChatGPT.
How the AHA policy compares to journal-level implementation
The AHA publishes 12+ journals. The AI policy text is consistent across the portfolio, but editorial implementation varies by journal profile:
Journal | AI policy source | Clinical sensitivity | Typical AI use in submissions |
|---|---|---|---|
Circulation | AHA policy | Very high | Language editing, statistical code, imaging analysis |
Circulation Research | AHA policy | High | Language editing, bioinformatics code |
Stroke | AHA policy | Very high | Language editing, imaging analysis code |
Hypertension | AHA policy | High | Language editing, data analysis |
ATVB | AHA policy | Moderate | Language editing, genomics analysis code |
Circ: Arrhythmia & Electrophysiology | AHA policy | Very high | AI is often the research subject itself |
Circulation: Arrhythmia and Electrophysiology deserves special mention. This journal publishes research where AI is frequently the research subject, algorithm development for arrhythmia detection, deep learning for ECG interpretation. The same distinction that applies at Nature Biotechnology applies here: research AI goes in standard Methods; writing AI goes in the disclosure.
The dual-disclosure requirement
Most major journals require AI disclosure in one place, usually Methods. The AHA requires it in two:
Methods section disclosure:
"During the preparation of this manuscript, the authors used ChatGPT (GPT-4, OpenAI) to improve the clarity and readability of the Discussion section. All suggestions were reviewed and edited by the clinical investigators (J.R. and S.M.). The authors take full responsibility for the content of this article."
Cover letter mention:
"We wish to disclose that AI tools were used during manuscript preparation, as detailed in the Methods section. ChatGPT (GPT-4, OpenAI) was used for language editing of the Discussion. All content has been reviewed and approved by all authors."
Why two places? The cover letter disclosure ensures the handling editor knows about AI use before the paper enters review. The Methods disclosure ensures readers and reviewers can evaluate the scope. Some editors skim the Methods during initial assessment, and the cover letter catch ensures AI use doesn't get overlooked at the desk review stage.
Writing the disclosure for cardiovascular research
Circulation publishes clinical trials, observational studies, basic science, and translational research. Each type has different AI disclosure considerations.
For a clinical trial (e.g., a drug efficacy RCT):
"The authors used Claude (Claude 3.5, Anthropic) to improve the language of the Introduction and Discussion sections. No AI tools were used for study design, data collection, statistical analysis, or clinical interpretation. The statistical analysis was performed by the study biostatistician (K.L.) using SAS 9.4 (SAS Institute). All AI-edited text was reviewed against the trial protocol and statistical analysis plan. The authors take full responsibility for the published content."
For an imaging/AI research paper:
"The convolutional neural network described in this study (CardioNet v3) was developed using TensorFlow and trained on the institutional dataset described in Methods. Separately, during manuscript preparation, the authors used ChatGPT (GPT-4, OpenAI) to edit the Results section for clarity. The research methodology and the manuscript editing tool are entirely separate systems. All AI-suggested text edits were reviewed by the senior author (M.P.)."
For a basic science paper:
"During preparation of this manuscript, the authors used GitHub Copilot (Microsoft) to assist with writing Python scripts for single-cell RNA-seq analysis. ChatGPT (GPT-4, OpenAI) was used to improve the readability of the Methods section. All code was validated against manual calculations, and all text edits were reviewed by the authors."
What requires disclosure at Circulation
Use case | Disclosure required? | Cardiovascular-specific notes |
|---|---|---|
Standard grammar tools | No | Grammarly, Word spell check exempt |
ChatGPT for language polishing | Yes | Methods + cover letter |
AI for literature review | Yes | Describe scope and tools |
Statistical code generation | Yes | Confirm biostatistician validation |
AI-assisted ECG analysis code | Yes (as methodology) | Part of research methods, not writing disclosure |
AI-generated cardiac schematics | Prohibited | Heart diagrams must be hand-drawn or standard illustration tools |
Translation of manuscript | Yes | Name tool and languages |
AI for AHA-format compliance | Yes | If used to structure paper to Circulation's requirements |
AI to generate meta-analysis forest plots | Not if from real data | Computational outputs from actual data aren't AI-generated images |
AI to debug R/SAS code | Yes | Specify what code was debugged |
Consequences of non-disclosure
The AHA's enforcement follows the ICMJE and COPE framework:
During peer review:
- Reviewers or editors flag concerns about AI-generated text
- Author asked to add or expand disclosure in Methods and cover letter
- Deliberate concealment can lead to rejection
- If AI use affected clinical data interpretation, additional review by the statistical editor may be required
After publication:
- Correction: For non-clinical AI use (language editing) that was inadvertently undisclosed
- Expression of concern: If the scope of AI use is unclear, particularly in clinical sections
- Retraction: If AI generated clinical claims, fabricated data, or unverifiable findings
- Institutional notification: For serious cases involving clinical trial data
The cardiovascular community factor: Cardiology is a large but interconnected field. Circulation's editorial board includes department chairs and NIH study section members who review grants. A publication ethics issue at Circulation can ripple into grant review and promotion decisions. The practical cost of non-disclosure extends well beyond the single paper.
A specific risk for clinical trials: If your Circulation paper reports outcomes from a cardiovascular clinical trial and you didn't disclose that AI tools helped interpret or present the results, the consequences could extend to the trial sponsor, the Data Safety Monitoring Board, and potentially the FDA if the trial supported a regulatory submission. This isn't theoretical, regulatory agencies are increasingly asking about AI involvement in research processes.
How Circulation compares to other top cardiovascular journals
Feature | Circulation | European Heart Journal | JACC | Heart | Circulation Research |
|---|---|---|---|---|---|
Publisher | AHA | ESC (Oxford UP) | ACC (Elsevier) | BMJ Publishing | AHA |
AI authorship | Prohibited | Prohibited | Prohibited | Prohibited | Prohibited |
Disclosure location | Methods + cover letter | Methods | Methods | Methods | Methods + cover letter |
AI image ban | Yes | Yes | Yes | Yes | Yes |
Copy editing exemption | Yes | Yes | Yes | Yes (basic) | Yes |
Clinical sensitivity | Very high | Very high | Very high | High | Moderate |
Dual disclosure (Methods + letter) | Yes | No | No | No | Yes |
Circulation and Circulation Research are the only two cardiovascular journals in this comparison that require dual disclosure. European Heart Journal (ESC) and JACC (ACC) both follow single-location disclosure models.
JACC follows Elsevier's publisher-wide AI policy, which is broadly permissive with mandatory disclosure. European Heart Journal follows Oxford University Press guidelines. The policies are functionally similar, but the enforcement culture at each journal reflects its publisher's approach.
Practical advice for Circulation submissions
For clinical papers:
- Never input patient data into cloud-based AI tools. This includes de-identified data if re-identification is theoretically possible.
- Keep AI away from Results and Conclusions sections in clinical trial reports. Reviewers expect these sections to reflect the investigators' direct interpretation of the data.
- If your trial involves an AI-based device or algorithm as the intervention, separate the research disclosure from the writing disclosure with clear subheadings.
For basic and translational research:
- If AI helped with bioinformatics code, deposit the code in a public repository and note which portions were AI-assisted.
- For single-cell analyses, proteomics, or genomics pipelines that used AI-assisted code, describe the validation steps clearly.
For reviews and state-of-the-art papers:
- Circulation publishes invited reviews that shape clinical practice. If you use AI to organize or draft sections, the disclosure should reflect this, and the editorial team expects the analytical framework to be your own.
- Don't use AI to generate clinical recommendations in review articles. Circulation's clinical practice recommendations carry significant weight with practicing cardiologists.
Before submission checklist:
- [ ] AI disclosure in Methods section
- [ ] AI use mentioned in cover letter
- [ ] No patient data processed through external AI tools
- [ ] Clinical interpretations are human-generated
- [ ] Statistical code validated independently
- [ ] All co-authors aware of AI disclosure
- [ ] Research AI and writing AI clearly distinguished (if applicable)
Cover letter template for AI disclosure:
"Dear Editors, [standard cover letter content]. We wish to inform you that AI tools were used during manuscript preparation as disclosed in the Methods section. Specifically, [tool name and version] was used for [purpose]. All content has been reviewed and approved by all authors, who take full responsibility for the manuscript."
A free manuscript assessment can help you verify that your Circulation submission meets the AHA's disclosure and formatting requirements before you submit.
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