Vendor source
Reviewed 2 Oct 2026
Completeness Comprehensive (81%)
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class I
Verified by Health AI Register
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Comparison of Two Artificial Intelligence Programs for Bone Age Assessment Using Hand–Wrist Radiographs in Korean Children and Adolescents Undergoing Orthodontic Diagnosis
Children · Aug 2026
A Comparison of Automatic Bone Age Assessments between the Left and Right Hands: A Tool for Filtering Measurement Errors
Applied Sciences · Sep 2024
Prediction of Fishman’s skeletal maturity indicators using artificial intelligence
Scientific Reports · Apr 2023
Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment
Korean Journal of Radiology · Oct 2021
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
Not specified
Countries present
Paying clinical customers
Research/test users
Pricing Information
Pricing model
Based on
Source: Vendor | First published: Apr 23, 2024 | Last updated: Oct 2, 2026