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
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

AI Reduces CT Turnaround and Wait Times for Positive Pulmonary Embolus

By MedImaging International staff writers
Posted on 10 Apr 2023
Print article
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:

Gold Supplier
Ultrasound Phantom
Multi-Purpose Multi-Tissue Ultrasound Phantom - Model 040GSE
High-Frequency X-Ray Generator
Battery X-Ray Generator
SPECT/CT Scanner
AnyScan SC
Flat Panel Detector (FPD)
DRX-LC Detector

Print article
FIME - Informa



view channel
Image: BiOI ruby-like crystals can improve medical imaging safety by lowering intensities of harmful X-rays (Photo courtesy of University of Cambridge)

Sustainable Solar Cell Material Could Revolutionize Medical Imaging

The use of X-rays for internal body imaging has dramatically changed non-invasive medical diagnostics. Yet, the high dose of X-rays required for these imaging techniques, due to the poor performance of... Read more


view channel
Image: Ezra Flash AI has received 510(k) FDA clearance, enabling roll out of the world’s first 30-minute full body MRI (Photo courtesy of Ezra)

World's First 30 Minute Full Body MRI Scan Offers Fast, Accurate and Affordable Cancer Diagnosis

A cutting-edge artificial intelligence (AI) solution enhances MR image quality, paving the way for a reduction in scan time and consequently, the cost of MRI procedures. This innovation now makes it feasible... Read more


view channel
Image: Attaching microbubbles to macrophages can create high-resolution and sensitive tracking images useful for disease diagnosis (Photo courtesy of Georgia Institute of Technology)

Ultrasound Can Image Immune Cells Enhanced With Microbubbles to Diagnose Early Stage Cancer

Macrophages, a type of white blood cell, protect the human body by surrounding and consuming foreign particles such as bacteria, viruses, and dead cells. Notably, these immune cells tend to gather within... Read more

Nuclear Medicine

view channel
Image: New imaging method offers potential for diagnosing, staging, and treating multiple types of cancer (Photo courtesy of SNMMI)

New Imaging Method Superior for Diagnosing Multiple Types of Cancer

Cancer-associated fibroblasts play a significant role in tumor development, migration, and progression. A subset of these fibroblasts expresses fibroblast activation protein (FAP), a protein prominently... 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

Industry News

view channel
Image: The global AI-enabled medical imaging solutions market is expected to reach USD 18.36 billion in 2032 (Photo courtesy of Freepik)

Global AI-Enabled Medical Imaging Solutions Market Driven by Need for Early Disease Detection

The AI-enabled medical imaging solutions market is currently in its developmental stages, following the significant role of AI-based tools in combating the COVID-19 pandemic. The pandemic saw an upswing... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.