Timely triage to expand the treatment window to help guide the right life-saving treatment decisions

Chest pain is a frequent indication of emergency department visits globally. Acute chest discomfort, which accounts for around 6%*1 of the visits to Emergency Departments, could potentially result in life threatening diseases such as Pulmonary Embolism (PE) and Aortic Dissection (AD).
Timely screening and triage of patients exhibiting chest pain is essential to expand the treatment window and provide the right life-saving treatment.
The AI-based Automation Platform Chest Pain applications provide images to help triage life-threatening acute chest pain.

*1: National Hospital Ambulatory Medical Care Survey: 2018 Emergency Department Summary Table

Streamlined workflow with Automation Platform

Harness the power of Artificial Intelligence to improve patient care

Automation Platform streamlines workflows by automatically post-processing images directly from the scanner or exported indirectly from a PACS/VNA. Results are then automatically exported in a format that is ready for interpretation by the care team.
These are immediately sent out to the relevant care team, helping physicians make the right choice at the right time for their patients.
Insights Results, including images, are also simultaneously routed to PACS for clinical diagnostic review and sent as a notification to the care team, alerting them that a case is pending review.
  • 1 Collect clinically relevant patient data from multiple modalities, PACS and repositories with zero-click.
  • 2 Categorize parse incoming DICOM data and send to the relevant AI/non-AI clinical algorithms.
  • 3 Analyze* automatically with validated, accurate clinical solutions.
  • 4 Deliver actionable summary results plus alerts to potentially urgent conditions.

* Automation Platform can utilize both AI and non-AI solutions

Insights Results for Chest Pain

Easy information sharing across the care team

Insights Results* is an automatic result module hosted by Automation Platform. It collects and displays all the results for one study, generated by all the individual post-processing applications.
It enables sharing of qualitative and quantitative DICOM-compliant reports with relevant care teams.
  • Concise summary of analysis results.
  • Can be viewed on PCs and smartphones in PDF format.
  • Highlights alerts from applications.

* Informational purpose only, not for diagnostic use

Webinar Report

Real-World Applications of AI

Early Clinical Experience in Acute Chest Pain CT, Cardiac CTA, and MR Body Imaging

Moderator & Speaker: Prof. Stefan M. Niehues, MD, MHBA
Radiologist, Deputy Director, and Senior Physician
Campus Benjamin Franklin at Charité – Universitätsmedizin Berlin
Berlin, Germany

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