Graphical abstracts · Materials to a design draft
Preparing a graphical abstract: ask AI for a verifiable design brief first
Request a reviewable design brief before asking a model to draw a conclusion. Map the question, design, main finding and limitations to sources, decide what belongs in the image, and check the target journal’s production policy.
For researchers with lawful abstract, methods and results material preparing a medical graphical abstract. With only an idea, make a proposed-study schematic, not a picture of findings that do not exist. This page runs no model or analysis and produces no formal image.
The handoff should include more than a bitmap: a source-linked content table, reading order and element specifications, draft caption, unresolved questions and appropriately prepared files. These are requested deliverables, not a guarantee of automatic completion from any input.
Bind every displayed item to material
Use the manuscript’s table number, page or paragraph. Leave unlocatable fields unresolved.
| Item | Required material | Record in the brief |
|---|---|---|
| Question and design | Title, methods and comparison definition | Population, comparison, outcome and design; do not turn association into causation |
| Sample and denominator | Participant flow, results tables and selection rules | Unit and denominator of each count; distinguish records, people and analysis samples |
| Main finding | Reported results and legends | Effect measure, unit, direction and interval, retaining original values |
| Interpretation and limits | Discussion, limitations and governance facts | Evidence-proportionate conclusion and unanswered questions |
Arrows are claims too. Workflow arrows can show operation order; mechanistic or causal arrows need supporting evidence, not aesthetic invention.
From material to reviewable deliverables
Specify purpose and lawful inputs
Distinguish journal graphical abstracts, seminar schematics and concept illustrations. Use authorized materials, not identifiable patient records, unauthorized full text or confidential review material in external models.
Approve content before layout
List source location, original fact, proposed on-image wording and open questions. Confirm facts before ordering question, methods, finding and limits; decoration cannot replace information.
Lock numbers and meaning
Check design labels, denominators, measures and intervals. Real data plots must follow reproducible data and methods; image generation must not invent trends, experimental images or findings.
Specify text and editability
Request element positions, labels, arrow meanings, caption and sources. If requesting SVG or PPTX, name the text and shapes that must remain editable. Actual formats depend on available tools and journal requirements.
Check at final display size
Inspect legibility, symbols, colors and contrast at final size, then compare with manuscript and tables. Preserve material, changes and AI-use information; authors make the final decision.
Teaching output excerpt: a checkable result sentence
Synthetic teaching input: event C comparing A with B, RR 0.80, 95% CI 0.60–1.06. Suggested label: “point estimate below 1; interval includes 1,” with comparison direction, interval level and a synthetic-teaching label. No real study or statistical reanalysis is involved.
The content table also says “source: teaching input; design: not supplied; sample size: not supplied; limitation: benefit is not established.” Do not add counts, design labels or causal arrows. This illustrates an auditable excerpt, not a formal graphical abstract.
Adaptable task input
“Using my authorized abstract, methods and results tables, first produce a content table with source locations, design, population, comparison, outcome, effect and interval, and limits. Mark unreported items. Then propose reading order, layout, exact labels, caption and open questions. Run no new analysis, invent no numbers and do not make association causal.”
“Use the journal identified by my supplied author instructions. Check current graphical-abstract and AI-image rules first; retain format gaps when unavailable. Deliver drafts for review, not a submission certification. Document materials, tools and human changes as required.”
Check tool policy, not just pixels
As checked on 2026-10-14, Elsevier prohibits general-purpose generative-image tools for graphical abstracts. Check the target journal; do not generalize this example to every publisher.
PLOS figure rules are separate, not Elsevier formatting rules. A concept illustration is not a data plot; appearance, export capability or AI disclosure alone cannot establish provenance, permissions, fidelity or journal acceptance.
File handoff checklist
Every decision should trace back to material:
- Design and comparison remain faithful.
- Counts, units and denominators match sources.
- Effect, unit, direction and interval retain original values.
- Arrows and conclusions have appropriate evidence.
- Caption, manuscript, labels and limits agree.
- Journal policy, asset permissions, editable files and actual AI use are checked.
Checked boxes are not expert certification or an acceptance guarantee. Keep a draft when material, permission or methods are missing.
Questions
Can I start with only an abstract?
Yes, with a source-linked text brief. Keep missing results, methods and denominators explicit rather than deriving numbers from incomplete text.
Does converting to SVG make it a valid data figure?
No. Format establishes neither truth nor exemption from tool and journal policies.
Verified sources
The official sources below were checked on 2026-10-14. Access conditions and update dates are rechecked before publication.
Start with material and a deliverable
Prepare the design brief in RigorMed first
In the workspace, specify lawful material, target journal and the content table and caption draft to review. Adapt the input above, check available capability and credits before execution, then review actual outputs against sources. Drawing methods must still comply with journal policy.