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Milvue Suite - SmartUrgences
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.
Information source:
Vendor
Last updated:
January 15, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
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
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