Milvue Suite - SmartUrgences

Milvue
Milvue Suite is a software that uses artificial intelligence algorithms to provide preliminary data to help for medical imaging diagnosis, tasks automation and workflow.
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Information source: Vendor
Last updated: December 8, 2024

General Information

General
Product name Milvue Suite - SmartUrgences
Company Milvue
Subspeciality MSK, Chest
Modality X-ray
Disease targeted Bone fracture, pleural effusion, lung opacity, elbow joint effusion, lung nodule, pneumothorax, dislocation
Key-features Pre-diagnosis of x-ray image, worklist prioritization
Suggested use Before: adapting worklist order, flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion
After: diagnosis verification

Technical Specifications

Data characteristics
Population all patients who underwent a plain X-Ray, including pediatric patients
Input X-ray image
Input format DICOM
Output Bounding box image annotation, pre-report, pre-diagnosis
Output format DICOM
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time 10 - 60 seconds

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 Tempus Pixel, Dedalus, Maincare, Intrasense, SystemX, EDL, Incepto, Osimis, deepcOS
Countries present (clinical, non-research use) France
Paying clinical customers (institutes) 10+
Research/test users (institutes) Europe, North America
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)

  • Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study (read)
Non-peer reviewed papers on performance
Other relevant papers