Vendor source
Reviewed 9 Jul 2026
Completeness Strong (75%)
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Deep Learning–Based Bone Age Assessment for Predicting Final Adult Height in Girls With Central Precocious Puberty
Korean Journal of Radiology · May 2026
Proof-of-concept comparison of an artificial intelligence-based bone age assessment tool with Greulich-Pyle and Tanner-Whitehouse version 2 methods in a pediatric cohort
Pediatric Radiology · Sep 2025
Clinical validation of an Artificial Intelligence software for bone age assessment based on Greulich and Pyle method in a Portuguese paediatric cohort
European Journal of Radiology Artificial Intelligence · Jun 2025
High performance for bone age estimation with an artificial intelligence solution
Diagnostic and Interventional Imaging · Apr 2023
Technical Specifications
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Population
Market Presence
On market since
AI Platforms
Resellers
Countries present
Paying clinical customers
Research/test users
Not specified
Pricing Information
Pricing model
Based on
Source: Vendor | First published: Sep 21, 2024 | Last updated: Jul 9, 2026