GE HealthCare Expands On-Device Triage Capabilities of Critical Care Suite with FDA Clearance of Algorithm for Pneumothorax Detection, Notification, Triage and Diagnosis
- As part of the latest Critical Care Suite 2.1 offering, new on-device AI helps detect and localize pneumothorax (PTX) – providing immediate notification and overlay for the presence or absence of PTX.
- Results from various clinical studies showed significant user benefits - including a 57% reduction in reporting times for clinical actionable PTXs;1 a 17.7% increase in clinician detection of small PTXs;2 and a 100% partial localization accuracy for detected large PTXs.3
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On-device, CCS2.1 output from
X-ray is the oldest form of imaging and a valuable tool on the frontlines of patient care, accounting for over 60 percent of all imaging exams.4 Today, as technologists, radiologists, and physicians remain under tremendous pressure to manage an ever-increasing number of cases, every minute counts when dealing with high-risk procedures and critical conditions like PTX. With the high number of chest X-rays ordered as “STAT,” or immediate priority, the triaging of true STAT orders remains a challenge.5 6
As the entry point to diagnostic imaging in the emergency room, inpatient bedside imaging and the intensive care unit (ICU),
With this latest update, Critical Care Suite 2.1 provides immediate on-device detection and triage notifications for the presence or absence of pneumothorax (PTX). When a PTX is detected, an overlay is displayed in the area where the PTX was located both on-device as well as in PACS to assist with PTX localization, as well as improve speed and accuracy of PTX diagnosis. By hosting Critical Care Suite on-device, critical insights are available at the point of care and across the entire clinical care team.
Early users of this technology see the benefit of bedside access to critical clinical information:
“The ultimate journey for an AI tool from bench to bedside is when you involve the entire clinical team including bedside Physicians, Nurse Practitioners and Radiologists,” says Dr
The algorithm operates with a high degree of accuracy – partially localizing 100% of all detected large PTXs and 96% of all detected small PTXs, while limiting false alerts (94% specificity).7
Results from various clinical studies also showed significant user benefits when using this technology including a 57% reduction in reporting times for clinical actionable PTXs8 and a 17.7% increase in clinician detection of small PTXs.9
“Artificial intelligence applications in healthcare continue to prove their value in clinical practice and on the frontlines of patient care,” shares
GE HealthCare’s Critical Care Suite was co-developed with
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1 https://archive.rsna.org/2022/133200000.html
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4 World Health Organization Report -Communicating Radiation Risks in Pediatric Imaging.
5 “A Pilot Study.” Current problems in diagnostic radiology (2017).
6 Lorenz, Jonathan, and
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8 https://archive.rsna.org/2022/133200000.html
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