IB Lab PANDA

ImageBiopsy Lab
PANDA sofware provides an automated method to estimate pediatric bone age, monitor child growth and development from digital X-rays of the hand.
Information source: Vendor
Last updated: March 20, 2023

General Information

General
Product name IB Lab PANDA
Company ImageBiopsy Lab
Subspeciality MSK
Modality X-ray
Disease targeted Pediatric bone age
Key-features Bone age estimation, Growth Potential
Suggested use During: interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population pediatric hand XRs
Input 2D X-ray
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
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 3 - 10 seconds

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA No or not yet
Intended Use Statements
Intended use (according to CE) IB Lab PANDA uses deep learning technology to report bone age based on the Greulich & Pyle scale and saves time by presenting the results within seconds. The system is to be used by trained medical professionals including, but not limited to, orthopedists and radiologists. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis.

Market

Market presence
On market since 11-2020
Distribution channels Nuance PIN, Eureka Clinical AI, Blackford, Philips, Incepto, CARPL.ai, Osimis
Countries present (clinical, non-research use) 3
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Pay-per-use, Subscription
Based on Number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers