Key Features

  • 10 radiological findings and measurements: lce-angle
  • Acetabular dysplasia
  • CCD-angle
  • Coxa valga
  • Coxa vara
  • Extrusion index/femoroacetabular coverage
  • Femoroacetabular impingement
  • Pelvic obliquity/leg length difference. for acetabular coverage measurements: tönnis angle
  • Sharp angle

General Information

Product name

IB Lab HIPPO

Subspeciality

MSK

Modality

X-ray

Disease targeted

Pelvic obliquity, leg length difference, femoroacetabular impingement, hip dysplasia, hip arthritis

Main task

Not specified

Technical Specifications

Population

Adult humans between 18-95 years presenting with hip pain, suspected congenital diseases, femoral-acetabular impingement, spinal malformation or osteoarthritis of the hip

Patient population age

Not specified

Input

2D, standing or supine, unilateral or bilateral AP radiographs

Input format

DICOM

Output

overlay, visual output report, text report in RIS (RIS-templates can be pre-defined)

Output format

DICOM Secondary Capture, Pdf, Structured report

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

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:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

10-2020

AI Platforms

Blackford Analysis, CARPL.AI, Deepc, GE Healthcare, Incepto, Nuance, Philips Healthcare, Siemens Healthineers, TeraRecon

Resellers

Ambra Health, Osimis, Visus

Countries present

6

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip

Peer-Reviewed

View

Can an artificial intelligence powered software reliably assess pelvic radiographs?

Peer-Reviewed

View

Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia

Other Articles

Other

View

Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures

Source: vendor | First published: Sep 19, 2023 | Last updated: Jul 9, 2025