Vendor source

Reviewed 11 May 2026

Completeness Strong (61%)

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.

No papers to support — we monitor for new evidence.

Key Features

  • Abnormal classification
  • Abnormality detection
  • Quantification analysis

General Information

Product name

SenseCare-Chest DR Pro

Company

Modality

X-ray

Main task

Not specified

Subspeciality

Chest

Disease targeted

Pneumonia, tuberculosis, pneumothorax, pleural effusion, cardiomegaly, rib fracture

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Not verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Not specified

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

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

< 10 seconds

Population

All chest X-rays, all with suspicion of chest diseases, screening population

Market Presence

On market since

04-2021

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Aug 26, 2021 | Last updated: May 11, 2026