Augmented diagnosis, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology

KEROS

AI solution for diagnostic assistance for knee MRI

KEROS is an Artificial Intelligence Augmented Radiology solution for knee MRI. It automatically analyzes the main anatomical structures of the knee and detects lesions of ligaments, menisci and cartilages. It is compatible with all types of machines and integrates automatically into the radiologist’s usual reading environments, PACS or review stations 

Detection and characterization of lesions 

KEROS detects and characterizes lesions of ligaments, menisci and cartilages.

Automatic generation of a pre-filled report  

KEROS generates automatically a pre-filled report, either a detailed report in PDF format, or a synthetic report in “Secondary Capture” format. This report is available on your PACS or review station as an additional series.

  • MRI
  • KNEE
  • LIGAMENTS
  • MÉNISQUES
  • CARTILAGES
  • PACS
  • AI

Improve diagnostic performance

settings

Improve diagnostic performance

Improve diagnostic performance

Structuring of the communication

shield

Structuring of the communication

With patients and correspondents

Save time

settings

Save time

Acceleration of the interpretation of exams

Save time, secure your diagnosis and optimize your workflow with Incepto

Témoignage

“We have been using KEROS at the clinic for over a year for the interpretation of our knee MRIs. Our experience with the solution is that it reinforces the reliability of the diagnosis made by the radiologist and allows him to go straight to the point in his exploration, by identifying beforehand the lesions potentially present in the structures analyzed. A tool that will surely become indispensable, especially for examinations of patients managed in a traumatic context!”

Dr Stephen Binsse,

Radiologue
APHP et centre d’imagerie Soissons

Publications

 

  1. Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation
    B.Rizk H.Brat  P.Zille R.Guillin C.Pouchy C.Adam R.Ardon G.d’Assignies Physica Medica Volume 83, March 2021, Pages 64-71

Gagnez du temps, sécurisez votre diagnostic et optimisez votre flux de travail avec Incepto

Save time, secure diagnosis and optimize your workflow with Incepto