TechCare Alert

Milvue
TechCare Alert aims to detect findings in emergency X-rays. These findings include:
- Bones/Trauma: Fractures, dislocations, elbow joint effusion.
- Thorax: Pneumothorax, opacity, pleural effusion, nodule.
Information source: Vendor
Last updated: February 16, 2025

General Information

General
Product name TechCare Alert
Company Milvue
Subspeciality MSK, Chest
Modality X-ray
Disease targeted Appendicular skeleton fracture, ribs cage fracture, joint dislocation, elbow joint effusion, pneumothorax, opacity, pleural effusion, pulmonary nodule.
Key-features Detection of appendicular skeleton fracture, ribs cage fracture, joint dislocation, elbow joint effusion, pneumothorax, opacity, pleural effusion, pulmonary nodule.
Suggested use

Technical Specifications

Data characteristics
Population Adult patients
Input MSK and chest X-ray image
Input format DICOM
Output Bounding box image annotation, 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

  • Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction (read)

  • Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion (read)

  • Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms (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