General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Other certifications
Not specified
Market Presence
On market since
AI Platforms
Resellers
Countries present
Paying clinical customers
Research/test users
Not specified
Pricing Information
Pricing model
Based on
Evidence & Research
Peer-Reviewed Papers
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Evaluation of a deep learning software for automated measurements on full-leg standing radiographs
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Deep learning algorithm enables automated Cobb angle measurements with high accuracy
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Validation of AI-driven measurements for hip morphology assessment
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Automated weight-bearing foot measurements using an artificial intelligence–based software
Technical Papers
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Abstract ECR 2023 (RPS 705-6): Automated hip measurements using an artificial intelligence-based software
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Abstract ECR 2023 (RPS 705-7): Automated full-leg measurements using an artificial intelligence-based software
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Poster ESSR 2023 (#317): Automated Measurements of Cobb Angle on Full-Spine Radiographs Reach High Accuracy
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Poster ESSR 2023 (#219): Automated Full-Leg Measurements Using an Artificial Intelligence-Based Software
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Poster ESSR 2023 (#218): Automated Hip Measurements Using an Artificial Intelligence-Based Software
Source: vendor | First published: Jul 14, 2024 | Last updated: Jul 9, 2025