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Incidental Pulmonary embolism (iPE)
Incidental Pulmonary embolism (iPE)
Aidoc
Aidoc’s Incidental Pulmonary Embolism algorithm is a triage and notification software that flags and communicates suspected positive findings of pulmonary embolism and runs automatically on contrast enhanced CT protocols that include any part of the lungs.
Information source:
Vendor
Last updated:
July 14, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
Incidental Pulmonary embolism (iPE)
Company
Aidoc
Subspeciality
Chest
Modality
CT
Disease targeted
Pulmonary embolism
Key-features
Triage tool, workflow improvement
Suggested use
Triage/prioritization of medical images
Technical Specifications
Data characteristics
Population
Contrast-enhanced CTs
Input
Contrast CT, GE or Siemens acquired
Input format
DICOM
Output
flagging and communication of positive suspected findings
Output format
Annotated images: DICOM SC or overlay Prioritization notification: own application, HL7, API, bespoke integration
Technology
Integration
Integration in standard reading environment (PACS), Integration RIS (Radiological Information System)
Deployment
Hybrid solution
Trigger for analysis
Automatically, right after the image acquisition
Processing time
1 - 10 minutes
Regulatory
Certification
CE
Certified, Class I
, MDD
FDA
510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)
Radiological computer aided triage and notification software indicated for use in the analysis of Contrast-enhanced CT studies of the chest (not dedicated CTPA protocol). The device is intended to assist hospital networks and appropriately trained medical specialists in workflow triage by flagging and communication of suspected positive findings of Incidental Pulmonary Embolism (iPE).
Market
Market presence
On market since
10-2020
Distribution channels
Philips, Eureka Clinical AI, Nuance PIN, Fujifilm, Change Healthcare, GE Edison
Countries present (clinical, non-research use)
14
Paying clinical customers (institutes)
Over 500
Research/test users (institutes)
20-30
Pricing
Pricing model
Subscription
Based on
Total imaging volume
Evidence
Evidence
Peer reviewed papers on performance
Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen
(read)
Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT
(read)
Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT
(read)
Unreported incidental pulmonary embolism in patients with cancer: Radiologic natural history and risk of recurrent venous thromboembolism and death
(read)
Incidental pulmonary embolism in patients with cancer : prevalence , underdiagnosis and evaluation of an AI algorithm for automatic detection of pulmonary embolism
(read)
Detection of Incidental Pulmonary Embolism on Conventional Contrast-Enhanced Chest CT: Comparison of an Artificial Intelligence Algorithm and Clinical Reports
(read)
Non-peer reviewed papers on performance
Abstract: Use of a Machine Learning Algorithm to Detect Incidental Pulmonary Embolus
(read)
Other relevant papers