Milvue Suite - SmartUrgences

Milvue Suite is a software that uses artificial intelligence algorithms to provide preliminary data to help for medical imaging diagnosis, tasks automation and workflow.
Information source: Vendor
Last updated: Jan. 15, 2024

General Information

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
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


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


Market presence
On market since 02-2020
Distribution channels Tempus Pixel, Dedalus, Maincare, Intrasense, SystemX, EDL, Incepto, Osimis
Countries present (clinical, non-research use) France
Paying clinical customers (institutes) 10+
Research/test users (institutes) Europe, North America
Pricing model Subscription
Based on Number of users, Number of installations, Number of analyses


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