MediAI-BA

Crescom
crescom-mediai-ba
crescom-mediai-ba_1
crescom-mediai-ba
crescom-mediai-ba_1
Information source: Vendor
Last updated: April 23, 2024

General Information

General
Product name MediAI-BA
Company Crescom
Subspeciality MSK
Modality X-ray
Disease targeted Growth disorder, short or tall stature, early or late puberty, orthodontics, child obesity
Key-features Bone age based on GP and TW3 hybrid, bone age of key ROI, predicted adult height (Middle-Parental Height, AHP, BP), growth status tracking
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population Patients under age of 18 regardless of gender or ethnicity
Input X-ray image of hand bone
Input format DICOM, png, jpg, jpeg
Output Automatically generated structured report
Output format pdf, html
Technology
Integration Integration in standard reading environment (PACS), Stand-alone webbased
Deployment Cloud-based
Trigger for analysis 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 I , MDD
FDA No or not yet
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since 03-2020
Distribution channels <5
Countries present (clinical, non-research use) <10
Paying clinical customers (institutes) >300
Research/test users (institutes) <5
Pricing
Pricing model Subscription
Based on Number of analyses

Evidence

Evidence
Peer reviewed papers on performance

  • Prediction of Fishman’s skeletal maturity indicators using artificial intelligence (Scientific Reports, 2023) (read)

  • Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment (Korean Journal of Radiology, 2021) (read)
Non-peer reviewed papers on performance
Other relevant papers