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

Acceptable disclosure language for BMC Medicine submissions:

"For our clinical research with population-level relevance and methodological transparency-focused manuscript at BMC 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 BMC Medicine submission addressing clinical research with population-level 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 is too vague to be a useful disclosure:

• For BMC Medicine addressing clinical research with population-level relevance and methodological transparency: "AI tools were used in manuscript preparation." Too vague to show what the AI did; Springer Nature asks authors to clearly describe the use, so name the specific tool, version, and 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 beyond low-risk language support (a policy problem; editors may need to investigate or request clarification)

For BMC 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. 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. BMC Medicine's article instructions ask for LLM use to be properly documented in the Methods section but do not prescribe a format. Naming the tool, its version (or access date), and the specific use case makes the disclosure checkable, and "AI tools were used" without specifics risks an editorial query. Check whether your AI disclosure has the required specificity

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

Springer Nature's AI policy framework continues to evolve. BMC Medicine authors targeting clinical research with population-level relevance and methodological transparency submissions should track three signals throughout 2026:

Periodic policy updates from Springer Nature. Springer Nature says its AI policies will be reviewed periodically to keep pace with technology, regulation, and community expectations, so re-read the current guidance before you submit rather than reusing disclosure wording from an earlier manuscript.

Field-specific clarifications for clinical research with population-level relevance and methodological transparency. Different research domains see different AI use patterns. Springer Nature sorts AI use into green (low risk), amber (requires caution), and red (not permitted) tiers, so check where your use falls. Authors who err on the side of more disclosure rather than less avoid the publication-ethics gray zone.

Reviewer disclosure norms. Springer Nature asks peer reviewers not to upload manuscripts into generative AI tools and to declare transparently in their report any AI support in the evaluation.

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

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