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SenseCare-Chest DR Pro
SenseCare-Chest DR Pro
SenseTime
SenseCare Chest X-ray solution helps doctors screen out suspected cases of various diseases from chest X-ray images. It automatically provides the location and analysis of lesions.
Information source:
Vendor
Last updated:
Aug. 26, 2021
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
SenseCare-Chest DR Pro
Company
SenseTime
Subspeciality
Chest
Modality
X-ray
Disease targeted
Pneumonia, tuberculosis, pneumothorax, pleural effusion, cardiomegaly, rib fractures
Key-features
Abnormal classification, abnormality detection, quantification analysis
Suggested use
Before: adapting worklist order, flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion
Technical Specifications
Data characteristics
Population
All chest X-rays, all with suspicion of chest diseases, screening population
Input
2D chest X-ray scans, AP and PA
Input format
DICOM
Output
Case level triage, bounding boxes for various abnormality detection, parameter quantification, drafted report
Output format
DICOM
Technology
Integration
Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Stand-alone third party application, Stand-alone webbased
Deployment
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis
Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time
3 - 10 seconds
Regulatory
Certification
CE
Certified, Class IIb
, MDR
FDA
No or not yet
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
04-2021
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Pay-per-use, Subscription
Based on
Number of users, Number of installations, Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers