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

Siemens Healthineers

Provides customized electronic systems and advanced imaging, diagnostics, therapy, and healthcare IT solutions for th... read more Featured Products: More products

Download Mobile App




Events

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.
30 Jan 2023 - 02 Feb 2023

AI Saves One Hour of Daily Chest CT Interpretation Time for Radiologists

By MedImaging International staff writers
Posted on 14 Jun 2022
Print article
Image: AI saves one hour of daily chest CT interpretation time in prospective randomized study (Photo courtesy of Pexels)
Image: AI saves one hour of daily chest CT interpretation time in prospective randomized study (Photo courtesy of Pexels)

Incorporating artificial intelligence (AI) support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest computed tomography (CT) interpretation time in a radiologist’s typical workday, according to the findings of a prospective randomized study.

For the prospective study, researchers at the Medical University of South Carolina (MUSC, Charleston, SC, USA) used the AI-Rad Companion software solution from Siemens Healthineers (Erlangen, Germany) and IMPAX 6 PACS from Agfa Healthcare (Mortsel, Belgium). The study involved 390 patients (204 female, 186 male; mean age, 62.8 years) who underwent outpatient chest CT at MUSC from January 19-28, 2021.

Siemens AI-Rad Companion provided automated analysis of cardiac, pulmonary, and musculoskeletal findings, including labeling, segmenting, and measuring normal structures, as well as detecting, labeling, and measuring abnormalities. AI-annotated images and auto-generated summary results were stored in the PACS. Chest CT examinations were randomized using 1:1 allocation between AI-assisted and non-AI arms, then clinically interpreted using a stopwatch. Ultimately, mean interpretation times were significantly shorter in the AI-assisted than in the non-AI arm for all three cardiothoracic radiologists. For readers combined, the mean difference was 93 seconds (95% CI, 63-123 seconds), corresponding with a 22.1% reduction in the AI-assisted arm: 20.0% and 24.2% for contrast-enhanced and non-contrast scans, respectively.

“This is the first study to our knowledge to assess the impact of an AI support platform on chest CT interpretation times in a real-world clinical setting,” said U. Joseph Schoepf from the MUSC. “The platform’s integration into clinical workflow resulted in a mean reduction in interpretation times of 22.1% among three cardiothoracic radiologists for whom the AI results were made available.”

“If assistance from automated AI results can save one hour of interpretation time each day as estimated from our results,” the researchers contended, “then radiologists could devote this time to other activities, whether additional clinical tasks such as communicating findings to patients and referring physicians, or administrative, education, and research responsibilities.”

Related Links:
MUSC 
Siemens Healthineers 
Agfa Healthcare 


Print article
Radcal
CIRS -  MIRION

Channels

MRI

view channel
Image: Hyperpolarized MRI technology reveals changes in heart muscle’s sugar metabolism after heart attack (Photo courtesy of ETH Zurich)

MRI Technology to Visualize Metabolic Processes in Real Time Could Improve Heart Disease Diagnosis

Magnetic resonance imaging (MRI) has become an indispensable part of medicine. It allows unique insights into the body and diagnosis of various diseases. However, current MRI technology has its limitations:... Read more

Ultrasound

view channel
Image: A combination of ultrasound and nanobubbles allows cancerous tumors to be destroyed without surgery (Photo courtesy of Tel Aviv University)

Ultrasound Combined With Nanobubbles Enables Removal of Tumors Without Surgery

The prevalent method of cancer treatment is surgical removal of the tumor, in combination with complementary treatments such as chemotherapy and immunotherapy. Therapeutic ultrasound to destroy the cancerous... 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 © 2000-2022 Globetech Media. All rights reserved.