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 automatically integrates into the radiologist’s usual reading environments, PACS or review workstations 

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 workstation as an additional series.

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

Improve performance

Improve user performance

Structure communication

With patients and correspondents

Save time

Accelerate the interpretation of exams

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

Testimony

“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 analyzed structures. A tool that becomes indispensable, especially for examinations of patients managed in a traumatic context!”
Dr Stephen Binsse,

Radiologist
APHP and Soissons imaging center

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
  2. Tran A, Lassalle L, Zille P, Guillin R, Pluot E, Adam C, Charachon M, Brat H, Wallaert M, d’Assignies G, Rizk B. Deep learning to detect anterior cruciate ligament tear on knee MRI: Multi-continental external validation. European Radiology. 2022 Jun 21:1-0.
  3. Deep learning to detect anterior cruciate ligament tear on knee MRI: first multi-continental external validation (JFR 2021)
  4. Comparative performance of an artificial intelligence algorithm and human annotators for meniscal crack detection (JFR 2022)
  5. Performance comparison of a deep learning algorithm and human readers on anterior cruciate ligament tear detection (ESSR 2022)
  6. Evaluation of Visual Explanation for Knee MRI pathologies classifiers (ECR 2022)
  7. Impact of AI for pathology detection from knee MRI (RSNA 2022)
  8. Performance comparison of a deep learning algorithm and human readers on anterior cruciate ligament tear detection (ECR 2023)

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

KEROS medical device is a regulated health product that bears the CE mark Class IIa.  Notified Body: IMQ (0051).

Manufacturer: Incepto Medical
ARVA is a diagnostic tool and should not be used alone to recommend medical management for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update : February 26th, 2024

Save time, secure diagnosis and optimize your workflow with Incepto