Key Features

  • Detect and characterize lesions of ligaments
  • Menisci and cartilages

General Information

Product name

KEROS

Company

Subspeciality

MSK

Modality

MR

Disease targeted

Meniscus and ligament tears, chondropathies

Main task

Not specified

Technical Specifications

Population

Patient over 16 yo with no history of knee surgery

Patient population age

Not specified

Input

2D, 3D, proton density fat saturation, T2 fat saturation

Input format

DICOM

Output

Pre-filled report including finding and location

Output format

PDF or DICOM Secondary Capture

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform

Deployment

Cloud-based

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

01-2021

AI Platforms

Incepto

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation

Peer-Reviewed

View

Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation

Source: vendor | First published: Jan 21, 2024 | Last updated: Jul 9, 2025