Intra-Abdominal Free Gas (IFG)

Aidoc
Aidoc’s Intra-abdominal Free Gas (IFG) algorithm detects and prioritizes intra-abdominal free gas on CT scans with the aim to speed identification, triage, and treatment. The algorithm runs automatically on contrast enhanced CT protocols and identifies pneumoperitoneum and small locules of air near the bowel wall.
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Information source: Vendor
Last updated: February 10, 2022

General Information

General
Product name Intra-Abdominal Free Gas (IFG)
Company Aidoc
Subspeciality Abdomen
Modality CT
Disease targeted Intra-abdominal free gas (pneumoperitoneum)
Key-features Triage tool, workflow improvement
Suggested use Triage/prioritization of medical images

Technical Specifications

Data characteristics
Population CT
Input Abdominal CT
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 CT studies of the abdomen. 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 Intra-abdominal free gas (IFG).

Market

Market presence
On market since 06-2020
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

  • Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations (read)
Non-peer reviewed papers on performance
Other relevant papers