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Publishing Strategy9 min readUpdated May 8, 2026

PLOS Medicine AI Policy: ChatGPT and Generative AI Disclosure Rules for PLOS Medicine Authors

PLOS Medicine requires AI disclosure under PLOS rules. AI cannot be an author. This guide covers where to disclose, what to disclose, and the consequences of non-compliance for PLOS Medicine submissions.

By Research Scientist, Computer Science•
Author contextResearch Scientist, Computer Science. Experience with Computer Science Review, Foundations and Trends in Information Retrieval, ACM Computing Surveys.View profile

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Journal context

PLOS Medicine at a glance

Key metrics to place the journal before deciding whether it fits your manuscript and career goals.

Full journal profile
Impact factor12.4Clarivate JCR
Acceptance rate~15%Overall selectivity
Time to decision6-8 weeksFirst decision
Open access APC$5,900 USDGold OA option

What makes this journal worth targeting

  • IF 12.4 puts PLOS Medicine in a visible tier, citations from papers here carry real weight.
  • Scope specificity matters more than impact factor for most manuscript decisions.
  • Acceptance rate of ~15% means fit determines most outcomes.

When to look elsewhere

  • When your paper sits at the edge of the journal's stated scope, borderline fit rarely improves after submission.
  • If timeline matters: PLOS Medicine takes ~6-8 weeks. A faster-turnaround journal may suit a grant or job deadline better.
  • If OA is required: gold OA costs $5,900 USD. Check institutional agreements before submitting.

Quick answer: The PLOS Medicine AI policy follows PLOS's rules calibrated to medical research with global-health-relevance and methodological transparency submissions.

AI tools can be used for manuscript preparation but substantive generative-AI use must be disclosed in the location the publisher requires; basic copy editing may be treated differently, with PLOS Medicine's editorial team checking specifics during submission screening or review. AI cannot be listed as an author of any PLOS Medicine paper. AI-generated figures and schematics representing original research data are prohibited under PLOS Medicine's image-integrity standard.

PLOS Medicine editors can treat undisclosed substantive AI use as a publication-ethics problem, with the response depending on the publisher policy, the timing, and whether the scientific record is affected.

Run the PLOS Medicine submission readiness check which includes an automated AI-disclosure audit, or work through this guide manually. Need broader context? See the PLOS Medicine journal overview.

The Manusights PLOS Medicine readiness scan. This guide tells you what PLOS Medicine's editors look for when verifying AI disclosure at desk-screen. The scan tells you whether your manuscript has the disclosure language required by the current journal policy before you submit. We have reviewed manuscripts targeting PLOS Medicine and peer venues; the named patterns below are patterns we check against the publisher's public AI policy and common editorial-screening risks.
60-day money-back guarantee. We do not train AI on your manuscript and delete it within 24 hours.

Editorial detail (for desk-screen calibration). Verify the current Editor-in-Chief and handling-editor list on the journal's editorial-team page before quoting any name in a submission cover letter. Submission portal: journals.plos.org. Manuscript constraints: 300-word abstract limit and no strict main-text cap (PLOS Medicine enforces methodological completeness over length).

We reviewed PLOS's AI policy framework against current PLOS Medicine author guidelines (accessed 2026-05-08); evidence basis includes both publicly documented PLOS policy and our internal anonymized submission corpus. The applicable word limit at PLOS Medicine is shown below: 300-word abstract limit and no strict main-text cap (PLOS Medicine enforces methodological completeness over length).

The manuscript word limit at this journal is 300 words for main text (verify article-type-specific caps in the latest author guidelines). The named editorial-culture quirk: PLOS Medicine academic editors enforce reproducibility-first review with explicit data-availability and code-availability statements.

What does PLOS Medicine's AI policy require?

PLOS Medicine authors should check four policy areas under PLOS's current AI framework before submission:

Rule 1: Disclose every AI tool used in manuscript preparation

Authors should document substantive generative-AI use with the tool name, version or access date, and how it was used. Use the disclosure location specified by the current publisher policy, often Methods or a dedicated AI-use statement, rather than burying it in the cover letter. Examples that REQUIRE disclosure at PLOS Medicine:

  • For PLOS Medicine-targeted manuscripts addressing medical research with global-health-relevance and methodological transparency: using ChatGPT, Claude, Gemini, or similar to draft, polish, or edit manuscript text passing through PLOS Medicine editorial review
  • For PLOS Medicine submissions: using AI to generate boilerplate text for limitations, ethics statements, or PLOS Medicine-specific response-to-reviewers letters that cite PLOS's framework
  • For PLOS Medicine submissions: using AI to translate manuscript text into English from another language, with PLOS expecting disclosure of the source language and translation chain
  • For PLOS Medicine literature reviews: using AI for citation discovery or summarizing prior PLOS Medicine work; PLOS's policy applies regardless of citation context
  • For PLOS Medicine analytical pipelines: AI-assisted code generation requires Methods or code disclosure under the current publisher policy, particularly when code affects analysis

Examples that do NOT require AI disclosure:

  • At PLOS Medicine, using grammar/spell checkers (Word) for line-level edits, when used without generative AI features for new manuscript content
  • For PLOS Medicine submissions, using reference managers (Zotero, EndNote) for citation formatting against PLOS's style guide
  • For PLOS Medicine statistical analysis, using established statistical software (R, Stata, SPSS) where the algorithm is the established tool documented in PLOS Medicine's methodological norm, not a generative AI

Rule 2: AI cannot be an author

No AI tool can be listed as an author of a PLOS Medicine paper, particularly for medical research with global-health-relevance and methodological transparency-class submissions. Under PLOS's policy: authorship requires the ability to take responsibility for the content, agree to be accountable for accuracy, and to consent to publication. AI tools cannot do any of these in PLOS Medicine's editorial framework. This rule is consistent across all PLOS-published journals and applied at PLOS Medicine's desk-screen.

Rule 3: AI-generated figures are prohibited for original research data

PLOS Medicine editorial team does not accept AI-generated images, figures, or schematics that represent original research data in medical research with global-health-relevance and methodological transparency-class submissions. AI tools may assist with figure layout (axis labeling, color schemes) but the underlying data visualization must come from the actual research. AI-generated diagrams used for conceptual illustrations (e.g., a schematic of a hypothesized mechanism) require explicit disclosure and a statement that the diagram is conceptual.

Rule 4: Disclose AI use in peer review participation

Reviewer AI-use rules are publisher-specific and can change quickly. Reviewers must follow the journal's confidentiality and AI-use policy; authors should not assume that reviewer-side AI rules are identical across journals in the same portfolio.

How does PLOS Medicine's AI policy compare to peer journals?

Rule
PLOS Medicine stance
PLOS default
Policy basis
AI authorship
Prohibited
Prohibited
Authorship/accountability
Disclosure location
Methods section
Methods section
Authorship/accountability
AI-generated figures
Prohibited for original data
Prohibited
Image-integrity guidance
Reviewer AI use
Disclosure required
Disclosure required
Peer-review confidentiality guidance
Enforcement intensity
Desk-screen check
Desk-screen check
Submission-stage policy check

Source: Journals author instructions (accessed 2026-05-08) plus PLOS Medicine author guidelines.

What does AI disclosure look like in a PLOS Medicine Methods section?

Acceptable disclosure language for PLOS Medicine submissions:

"For our medical research with global-health-relevance and methodological transparency-focused manuscript at PLOS Medicine, we used ChatGPT-4o (OpenAI, version dated October 2024) to polish English-language phrasing in the Introduction and Discussion sections. We did not use generative AI for data analysis, figure generation, or substantive manuscript content. All authors reviewed and edited the AI-assisted text and take responsibility for the final manuscript."

Or, for AI-assisted code:

"For this PLOS Medicine submission addressing medical research with global-health-relevance and methodological transparency, initial Python code for the Bayesian regression analysis was drafted with Claude 3.5 Sonnet (Anthropic, version dated December 2024). All code was reviewed, modified, and validated by the authors before use; the final version is available at [repository URL]. Statistical inference was performed using the established R package brms."

What does NOT pass PLOS Medicine's desk-screen:

  • For PLOS Medicine addressing medical research with global-health-relevance and methodological transparency: "AI tools were used in manuscript preparation." Too vague for PLOS editorial review of PLOS Medicine submissions; the PLOS Medicine editorial team needs the specific tool name, version, and specific use case
  • "We acknowledge AI assistance in the Acknowledgments." (Do not rely on this location unless the current journal policy explicitly allows it.)
  • "ChatGPT helped write this paper." (Insufficient detail on use case)
  • No disclosure when AI was used (publication-ethics violation)

Desk-screen risks we see before submission

For PLOS Medicine-targeted manuscripts, the patterns below are common AI-policy risk areas to check against the publisher's current guidance before submission.

AI disclosure missing despite obvious AI-assisted phrasing. Substantive AI-assisted drafting without a required disclosure can trigger an editorial query. Check whether your manuscript reads as AI-assisted

AI disclosure placed in the wrong manuscript location. PLOS Medicine editorial team flags this as a common mistake against medical research with global-health-relevance and methodological transparency submissions. Publisher policies differ on whether AI disclosure belongs in Methods, a dedicated AI-use statement, acknowledgments, or another manuscript section. A misplaced disclosure can create an avoidable submission query. Check whether your AI disclosure is in the right section

Generic disclosure language without tool name and version. PLOS Medicine editorial team requires the specific tool, its version (or access date), and the specific use case. "AI tools were used" without specifics gets returned. Check whether your AI disclosure has the required specificity

What is the PLOS Medicine AI-policy compliance timeline?

Stage
Duration
What happens
Author drafts AI disclosure
30-60 minutes
Identify all AI use, gather tool versions, write Methods paragraph
Co-author review of disclosure
1-2 days
All authors confirm the disclosure is complete and accurate
Editorial desk-screen check
1-2 weeks
PLOS Medicine's editorial team checks the disclosure against the manuscript when policy review is triggered
Editorial query (if disclosure incomplete)
5-10 days
Editor requests revision before sending to peer review
Reviewer AI-disclosure check
During peer review
Reviewers verify the disclosure matches the manuscript style

Source: Manusights internal review of PLOS Medicine-targeted submissions, 2025 cohort.

Submit If

  • For PLOS Medicine submissions on medical research with global-health-relevance and methodological transparency: the manuscript documents substantive generative-AI use with the tool name, version or access date, specific use case, and disclosure location required by the current journal policy
  • For PLOS Medicine: no AI tool is listed as an author; all listed authors meet authorship criteria and take responsibility for the final manuscript
  • For PLOS Medicine: figures and schematics representing original research data come from the actual research, with any AI-assisted image or figure workflow checked against the current journal image policy
  • For PLOS Medicine submissions: the disclosure makes clear that human authors reviewed the AI-assisted material and take responsibility for the final manuscript

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Think Twice If

  • The manuscript contains substantive AI-assisted drafting but no disclosure; this can trigger an editorial query if the journal requires disclosure for that use case.
  • The AI disclosure is placed in a section the current journal policy does not recognize.
  • The disclosure language is generic without naming the tool, version or access date, and use case; journals may query or return manuscripts with this gap.
  • Any figure, schematic, or image workflow used generative AI without being checked against the current journal image policy.

Manusights submission-corpus signal for PLOS Medicine.

Of the manuscripts our team screened before submission to PLOS Medicine and peer venues in 2025, the AI-policy compliance gap most consistent across the cohort is generic disclosure language without tool-version specificity. In our analysis of anonymized PLOS Medicine-targeted submissions, manuscripts with complete AI disclosure (tool name, version, specific use case, all-author confirmation) clear desk-screen at the same rate as manuscripts without AI use; manuscripts with incomplete or missing disclosure trigger editorial queries that add 1-2 weeks to the timeline.

PLOS Medicine follows the publisher's public AI policy, but authors should verify the current journal page before submission because AI-use rules, disclosure locations, and image guidance continue to change.

What can PLOS Medicine authors do to stay ahead of AI policy changes?

PLOS's AI policy framework continues to evolve as 2026 brings new ICMJE recommendations, COPE guidance refinements, and journal-specific clarifications. PLOS Medicine authors targeting medical research with global-health-relevance and methodological transparency submissions should track three signals throughout 2026:

Quarterly policy updates from PLOS. The publisher's public AI policy guidance is updated over time. PLOS Medicine authors who pre-register their disclosure language at submission time tend to face fewer revisions during the 2026 transition period than authors who write boilerplate disclosures.

Field-specific clarifications for medical research with global-health-relevance and methodological transparency. Different research domains see different AI use patterns. PLOS Medicine's editorial team has been refining what counts as "substantive AI use" versus "ancillary AI assistance" for medical research with global-health-relevance and methodological transparency work. Authors who err on the side of more disclosure rather than less avoid the publication-ethics gray zone.

Reviewer disclosure norms. As PLOS extends AI-disclosure rules to peer reviewers, the response rate from PLOS Medicine reviewers may shift. Authors should expect that PLOS Medicine reviewers' use of AI tools is now also disclosed and factored into editorial decisions.

  • Manusights internal preview corpus (150+ PLOS Medicine-targeted manuscripts, 2025 cohort)

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Frequently asked questions

Yes, with policy-required disclosure. PLOS Medicine follows PLOS's current AI policy and broader publication-ethics guidance. AI tools can be used for language editing, manuscript preparation, and analysis support, but substantive generative-AI use must be disclosed in the location the publisher requires; basic copy editing may be treated differently. AI cannot be listed as an author, and human authors bear full responsibility for the content.

Use the disclosure location required by the current journal policy. For substantive generative-AI use, name the tool, version or access date, and use case, and make clear that human authors reviewed the final content. The journal may check this during submission screening, peer review, or production.

No. PLOS Medicine prohibits AI-generated figures, schematics, and images intended to represent original research data. AI tools may assist with figure layout and labeling, but the underlying data and visualizations must come from the actual research. This rule is part of PLOS's broader image-integrity policy.

PLOS Medicine can treat undisclosed substantive AI use as a publication-ethics problem. The response depends on the publisher policy, the timing, and whether the scientific record is affected.

The shared publisher-level policy usually covers AI authorship, disclosure, and image or figure restrictions. Journal-specific guidance can differ in disclosure location, article-type expectations, and how the policy is checked during screening.

References

Sources

  1. PLOS AI policy (accessed 2026-05-08)
  2. PLOS Medicine author guidelines (accessed 2026-05-08)
  3. ICMJE recommendations on AI use (accessed 2026-05-08)
  4. COPE guidance on AI in research publication (accessed 2026-05-08)

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