We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Radcal IBA  Group

Download Mobile App




AI Reduces CT Turnaround and Wait Times for Positive Pulmonary Embolus

By MedImaging International staff writers
Posted on 10 Apr 2023
Image: AI has been shown to cut CT turnaround and wait times for positive pulmonary embolus (Photo courtesy of Freepik)
Image: AI has been shown to cut CT turnaround and wait times for positive pulmonary embolus (Photo courtesy of Freepik)

In individuals experiencing an acute pulmonary embolism (PE), prompt treatment (such as starting anticoagulation) is crucial for improving patient outcomes. A study was carried out to assess the impact of using artificial intelligence (AI)-based radiologist worklist reprioritization on the report turnaround times for CT pulmonary angiography (CTPA) examinations that were positive for acute PE. The results indicated that utilizing AI-driven worklist reprioritization led to shorter report turnaround time and waiting periods for PE-positive CTPA examinations.

The study conducted by researchers at the University of Texas Southwestern Medical Center (UTSW, Dallas, TX, USA) involved patients who had undergone CTPA in two periods: before (October 1, 2018–March 31, 2019) and after (October 1, 2019–March 31, 2020) the implementation of an FDA-approved AI tool. This tool was designed to reprioritize CTPA examinations at the top of radiologists' reading lists when acute PE was identified. By analyzing timestamps from electronic medical records and dictation systems, the researchers determined three durations: the waiting period (from examination completion to report initiation), reading time (from report initiation to availability), and overall report turnaround time (the sum of waiting and reading times). The team then compared the durations for PE-positive reports, using final imaging as a reference, between the two periods.

The research discovered that the AI-powered worklist reorganization tool was linked to considerably reduced report turnaround (47.6 vs. 59.9 minutes) and wait times (21.4 vs. 33.4 minutes) for CTPA reports indicating acute PE. However, there was no significant difference in reading times (26.3 vs. 26.5 minutes) for CTPA reports positive for acute PE when compared to reports prior to AI implementation. From these results, the investigators deduced that the AI tool could potentially facilitate quicker diagnoses by radiologists, ultimately leading to earlier interventions for acute PE cases.

Related Links:
UTSW

X-ray Diagnostic System
FDX Visionary-A
Ultrasound Table
Women’s Ultrasound EA Table
Digital Radiographic System
OMNERA 300M
Post-Processing Imaging System
DynaCAD Prostate

Channels

Nuclear Medicine

view channel
Image: LHSCRI scientist Dr. Glenn Bauman stands in front of the PET scanner (Photo courtesy of LHSCRI)

New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer

Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.