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Can AI Help Create Medical-Device IFU Illustrations? A Responsible Workflow

A draft device-use sequence followed by a structured human review

AI can shorten the first-draft illustration loop for a medical-device IFU, but it cannot decide what the approved use sequence should be. That distinction is the foundation of a responsible workflow.

The useful role is narrow and practical: turn controlled procedural content and verified device references into draft line art, then send every figure through product, usability, safety, clinical, quality, and regulatory review as applicable to the organization and market.

What AI can reasonably assist with

AI illustration tools can help create early visual drafts for:

  • preparation and setup sequences;
  • hand position and device orientation;
  • connection and disconnection steps;
  • cleaning, storage, and disposal actions;
  • correct/incorrect handling comparisons;
  • enlarged views of controls or contact points;
  • consistent variants for several related steps.

These are illustration tasks. They do not authorize a use, establish a warning, validate a cleaning method, or prove that a sequence is safe.

A structured medical-device IFU illustration set with preparation, use, and review panels

Begin with controlled inputs

Before generating any image, assemble a reviewable source package:

  • the correct device revision and verified reference photos;
  • the approved or draft procedure with source ownership identified;
  • required warnings, contraindications, and limitations from controlled text;
  • the intended user and use environment;
  • approved terminology, symbols, and labeling rules;
  • known use errors from risk and usability work;
  • the required reviewers and approval state.

Do not let the model infer missing steps from the shape of a device. If the procedure is incomplete, stop illustration work and resolve the source content first.

Separate visual generation from factual authority

Use AI to express an approved action visually: show the device, the hand, the movement, and the state change. Do not ask it to create dosage, timing, dimensions, limits, sterile barriers, disposal classifications, certification marks, or warning language.

The visual prompt should prohibit logos, invented labels, regulatory seals, and unrequested symbols. Any controlled symbol or text should be inserted from an approved source and verified after layout.

Establish review gates

A responsible review should answer at least these questions:

  1. Is the device revision and component geometry correct?
  2. Is the illustrated action identical to the controlled procedure?
  3. Are hand position, orientation, and sequence physically possible?
  4. Could the image encourage a known use error?
  5. Are warnings visible at the correct point of action?
  6. Are all symbols, labels, and units approved and legible?
  7. Does the localized version preserve the same risk meaning?
  8. Is the final file linked to a review record and revision?

If any answer is uncertain, the figure remains a draft.

Keep the audit trail

Store the original input, generation instruction, draft, reviewer comments, corrected version, and final approval together. When a product or procedure changes, update the affected panel rather than silently reusing an old image.

ManualFig AI can support the controlled illustration-production portion: reference-based line art, sequential panels, targeted revisions, version history, and PNG/SVG export. It should be used inside the organization's existing document-control and review system—not outside it.

Prepare a reviewable IFU illustration draft with ManualFig AI.

The safest promise is also the most useful one: AI can reduce drawing effort, while accountable experts remain responsible for what the IFU instructs a user to do.

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