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ProductsIB Lab LAMA

Vendor source

Reviewed 11 May 2026

Completeness Strong (78%)

IB Lab LAMA

ImageBiopsy Lab

IB Lab's diagnostic support tool LAMA uses deep learning technology for automated measuring of leg geometry to evaluate lower limb deformities, such as leg or lower extremity length discrepancy and knee alignment deformities.

Supported by 6 papers

IB Lab LAMA

Key Features

  • 12 radiological findings and measurements: genu varum
  • AMA angle
  • Anatomical angles according to paley
  • Femur length
  • Genu valgum
  • Hip knee angle
  • Joint line convergence angle
  • Lower extremity length discrepancy
  • Mechanical angles according to paley
  • Mechanical axis deviation (mad)
  • Tibia length

General Information

Product name

IB Lab LAMA

Modality

X-ray

Main task

Not specified

Subspeciality

MSK

Disease targeted

Genu varum, genu valgum, lower extremity length discrepancy

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

Changes of Knee Phenotypes Following Osteotomy Around the Knee in Patients with Valgus or Varus Deformities—A Retrospective Cross-Sectional Study

Journal of Clinical Medicine · Jul 2025

Fully automated assessment of the knee alignment on long leg radiographs following corrective knee osteotomies in patients with valgus or varus deformities

Archives of Orthopaedic and Trauma Surgery · Dec 2023

Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility

Knee Surgery, Sports Traumatology, Arthroscopy · Nov 2023

Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination

Skeletal Radiology · Nov 2023

Artificial intelligence enables reliable and standardized measurements of implant alignment in long leg radiographs with total knee arthroplasties

Knee Surgery, Sports Traumatology, Arthroscopy · Jul 2022

Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study

Skeletal Radiology · Nov 2021

Technical Specifications

Patient population age

Not specified

Input

2D radiograph

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, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Adult humans with suspected deformities of the lower extremities among them functional limitations, bio-mechanical and cosmetic indications

Market Presence

On market since

10-2020

Resellers

Ambra Health, Osimis, Visus

Countries present

5

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Number of analyses

Source: Vendor | First published: Jul 14, 2024 | Last updated: May 11, 2026

IB Lab LAMA - ImageBiopsy Lab