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TechCare Alert

Key Features

  • Detection of appendicular skeleton fracture
  • Elbow joint effusion
  • Joint dislocation
  • Opacity
  • Pleural effusion
  • Pneumothorax
  • Pulmonary nodule.
  • Ribs cage fracture

General Information

Product name

TechCare Alert

Company

Subspeciality

Chest, MSK

Modality

X-ray

Disease targeted

Appendicular skeleton fracture, ribs cage fracture, joint dislocation, elbow joint effusion, pneumothorax, opacity, pleural effusion, pulmonary nodule.

Main task

Not specified

Technical Specifications

Population

Adult patients

Patient population age

Not specified

Input

MSK and chest X-ray image

Input format

DICOM

Output

Bounding box image annotation, pre-diagnosis.

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform

Deployment

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

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

02-2020

AI Platforms

Blackford Analysis, Deepc, Incepto, Softway Medical

Resellers

AMG MedTech, Coreline, EDL, GMM Group, Human Bytes, INFINITT Healthcare, Medin +, Nehs Digital, Newton's Tree, Olea Medical, Telemis, Therapixel

Countries present

15

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

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction

Peer-Reviewed

View

Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion

Peer-Reviewed

View

Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms

Peer-Reviewed

View

Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting

Source: vendor | First published: Feb 13, 2025 | Last updated: Jul 9, 2025