EFAI Bonesuite XR Bone Age Pro Assessment System (BAP-XR-100)

Ever Fortune.AI Co., Ltd.
Eclipse II with Smart Noise Cancellation Model Card
Product Details
Model Identifier
Manufacturer
Ever Fortune.AI Co., Ltd.
Product
EFAI Bonesuite XR Bone Age Pro Assessment System (BAP-XR-100)
Version
Unknown
Date Cleared
06/07/2024
FDA Submission No.
Category
MIMPS
Model Characteristics
Inclusion Criteria
posterior-anterior (PA) radiographs of the left-hand
Exclusion Criteria
Unknown
Instructions for Use
Not available
Indications for Use
Indication of Use
EFAI BONESUITE XR BONE AGE PRO ASSESSMENT SYSTEM (EFAI BAPXR) is designed to view and quantify bone age from 2D Posterior Anterior (PA) view of left-hand radiographs using deep learning techniques to aid in the analysis of bone age assessment of patients between 2 to 16 years old for pediatric radiologists. The results should not be relied upon alone by pediatric radiologists to make diagnostic decisions. The images shall be with left hand and wrist fully visible within the field of view, and shall be without any major bone destruction, deformity, fracture, excessive motion, or other major artifacts.
Intended User
Pediatric Radiologist
Age
Pediatric
Anatomy
Upper Extremity
Modality
XRAY
Output
The algorithm outputs a standard JSON message, to ensure consistent interpretation and simple integration across systems. The result contains structured information in regards to the estimated bone age in years and the data can be transferred and processed by RIS/HIS/PACS and other workstations.
Details on Training Data Sets
Details on Training Data Sets
No. of Cases
Unknown
Age Range (Years)
Unknown
Sex (%)
  • Female: Unknown
  • Male: Unknown
  • Unknown: Unknown
Output
Unknown
Race (%)
  • White: Unknown
  • Black or African American: Unknown
  • American Indian or Alaska Native: Unknown
  • Asian: Unknown
  • Native Hawaiian or Other Pacific Islander: Unknown
  • Unknown: Unknown
Ethnicity (%)
  • Hispanic or Latino: Unknown
  • Not Hispanic or Latino: Unknown
  • Unknown: Unknown
Geographic Region (%)
  • USA: Unknown
  • International: Unknown
  • Unknown: Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
Model Performance
Study Type
Performance Testing Type
Stand-Alone Performance
Standalone Model Performance
Reference Standard (Ground Truth)
Interpretation by Reviewing Clinician
No. of Cases
600
Age Range (Years)
2 - 16
Sex (%)
Female: 50
Male: 50
Race (%)
  • White: Unknown
  • Black or African American: Unknown
  • American Indian or Alaska Native: Unknown
  • Asian: Unknown
  • Native Hawaiian or Other Pacific Islander: Unknown
  • Unknown: Unknown
Ethnicity (%)
  • Hispanic or Latino: Unknown
  • Not Hispanic or Latino: Unknown
  • Unknown: Unknown
Geographic Region (%)
USA: 100
Output
Unknown
Scanner Manufacturer(s)
GE;Samsung;Siemens;Carestream;Kodak;Konica Minolta
Scanner Model(s)
Unknown
No. of Sites
27
Model Accuracy
Unknown
Model Sensitivity
Not provided
Model Specificity
Not provided
Reader Study Performance
No. of Readers
N/A
No. of Cases
N/A
No. of Sites
N/A
Output
N/A
Age Range (Years)
N/A
Sex (%)
  • Female: N/A
  • Male: N/A
  • Unknown: N/A
Race (%)
  • White: N/A
  • Black or African American: N/A
  • American Indian or Alaska Native: N/A
  • Asian: N/A
  • Native Hawaiian or Other Pacific Islander: N/A
  • Unknown: N/A
Ethnicity (%)
  • Hispanic or Latino: N/A
  • Not Hispanic or Latino: N/A
  • Unknown: N/A
Geographic Region (%)
  • USA: N/A
  • International: N/A
  • Unknown: N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Model Limitations, Warnings, & Precautions
Model Limitations, Warnings, & Precautions
Supported Scanner Manufacturer(s)
Unknown
Slice Thickness
Unknown
Contrast Use
Unknown
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown
Additional Details
Related Use Cases
Unknown
All Products And Platforms from Ever Fortune.AI Co., Ltd.