I will turn your sketch into a publication ready scientific figure

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surgicai
S
surgicai
SurgicAI

About this gig

A beautiful figure is not enough; reviewers must be able to understand and challenge it.


I turn your manuscript, notes, or rough sketch into a clear, publication-ready scientific figure. This physician-led workflow maps each meaningful label, structure, and arrow to your supplied text, citation, or explicit approval before the artwork is built.


NO AI-GENERATED TEXT


AI-generated text is not accepted as the final labeling layer. Labels and relationship statements are written from the approved content map and checked separately against your supplied sources. The biological artwork is reviewed component by component instead of being trusted as a one-shot model output.


You receive: clear visual hierarchy and accurate labels high-resolution PNG and PDF editable source in every package versioned revisions instead of flattened-image patching target-journal technical preflight when included


Ideal for mechanisms, pathways, physiology, graphical abstracts, theses, grants, and presentations.


Every arrow has a source. Message me before ordering if your figure is multi-panel, anatomy-heavy, or based on third-party artwork.

Delivery style preference

Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.

Get to know SurgicAI

SurgicAI

Scientific Figure and Medical Illustration Studio

  • FromUnited States
  • Member sinceJul 2026
  • Languages

    English
SurgicAI is a physician-led biomedical illustration studio creating publication-ready scientific figures for manuscripts, grants, posters, and presentations. The studio turns source text, rough sketches, references, and reviewer comments into clear visuals. Every label, arrow, structure, and relationship is reviewed against supplied sources or client approval. Deliverables include editable SVG, PDF, high-resolution PNG, TIFF, and PowerPoint. The focus is scientific clarity, traceable decisions, readable typography, and efficient revisions, not generic AI-generated labeling.

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