TechCare Kids

Milvue
TechCare Kids performs detection, measurements and bone age assessment in pediatric imaging.
- Detection: Aims to identify abnormalities across the thoracic and appendicular skeleton pathologies in pediatric patients.
- Measurements: Analyzes skeletal structures, including the shoulder, spine, hip/pelvis, leg, and foot.
- It aims to determine the bone age.
Information source: Vendor
Last updated: February 16, 2025

General Information

General
Product name TechCare Kids
Company Milvue
Subspeciality MSK, Chest
Modality X-ray
Disease targeted Appendicular skeleton fracture. Rib cage fracture. Joint dislocation. Elbow joint effusion. Pleural effusion. Pulmonary nodule. Pulmonary opacity. Pneumothorax. Measurement of shoulder, pelvis, leg, foot and spine.
Key-features Detection of appendicular skeleton fracture, rib cage fracture, joint dislocation., elbow joint effusion, pleural effusion, pulmonary nodules, pulmonary opacities and pneumothorax. Measurement of shoulder, pelvis, leg, foot and spine. Determine bone age.
Suggested use

Technical Specifications

Data characteristics
Population Pediatric patients
Input MSK X-ray image and chest X-rays
Input format DICOM
Output Bounding box image annotation, pre-report, pre-diagnosis.
Output format DICOM
Technology
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA No or not yet
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since 02-2020
Distribution channels AMG MedTech, Blackford, Coreline, DeepcOS, EDL, GMM Group, Human Bytes, Incepto, INFINITT Healthcare, Nehs Digital, Medin +, Softway Medical, Olea Medical, Telemis, Therapixel.
Countries present (clinical, non-research use) 15
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of users, Number of installations, Number of analyses

Evidence

Evidence
Peer reviewed papers on performance

  • External validation of an artificial intelligence solution for the detection of elbow fractures and joint effusions in children (read)

  • Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting (read)

Non-peer reviewed papers on performance
Other relevant papers