Support X-ray, CT and MRI reporting with AI markings

Radiologists have abnormalities in X-ray, CT and MRI images flagged by AI

Needs setupStrictly regulatedSupporting specialist findingsHospitals & medical practices

Fits: Health & care

Software with CE marking flags possible findings such as fractures, pulmonary nodules or haemorrhages while you report. Small or rare abnormalities are missed less often, and urgent examinations can appear earlier in the worklist. The radiologist still writes the report and remains responsible for it.

Is this for you?

  • You report many examinations of one type, e.g. X-rays from the emergency department or chest CTs, often under time pressure or at night.
  • Your PACS and RIS can integrate results from additional software, or you are planning this.
  • A specialist can set aside time for selection and validation with your own cases.
First step today

Without patient data: use the template below to draft a validation plan for testing software with CE marking on your own examinations before it runs in everyday operation. Your radiology team sets the target values and case numbers, not the AI.

How to go about it

  1. Define the clinical question and responsibility
  2. Choose software with CE marking for exactly this question
  3. Integrate the markings into PACS and the reporting workflow
  4. Validate on your own examinations
  5. Train radiologists and radiographers (MTR)
  6. Record hits, false markings and missed findings

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
in the training
Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

7 more use cases follow the pattern “Supporting specialist findings”.

Check medication for interactions with approved softwareFollow up atrial fibrillation alerts from wearables in an orderly wayDocument wounds and healing with photosHave skin photos pre-assessed by medical device softwarePilot AI analysis of digital tissue sectionsPilot AI support for triage in the emergency departmentPilot early warning of sepsis from vital signs
‹ PreviousSee all use casesNext ›

KP-02 · Legal status 08.10.2026 · Medical device assessed by a notified body (Annex I)