News | Artificial Intelligence | June 14, 2022

Cardiothoracic radiologists exhibited a 22.1% reduction in chest CT interpretations times when having access to results from an automated AI support platform during real-world clinical practice

Platform displayed within additional image series to interpreting radiologist

Platform displayed within additional image series to interpreting radiologist. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)


June 14, 2022 — According to ARRS’ American Journal of Roentgenology (AJR), incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.

“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,” corresponding author U. Joseph Schoepf, MD, from the Medical University of South Carolina (MUSC) noted. “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.”

Schoepf and colleagues’ prospective study included 390 patients (204 female, 186 male; mean age, 62.8 years) who underwent outpatient chest CT at MUSC from January 19–28, 2021. A commercial software solution, AI-Rad Companion (Siemens Healthineers, Erlangen, Germany), 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 autogenerated summary results were stored in the PACS (IMPAX 6, Agfa Healthcare, Mortsel, Belgium). 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.

“If assistance from automated AI results can save one hour of interpretation time each day as estimated from our results,” the authors of this AJR article 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.”

For more information: www.arrs.org


Related Content

News | Magnetic Resonance Imaging (MRI)

March 25, 2026 A Penn Medicine–led team has developed a first‑of‑its‑kind artificial intelligence system that interprets ...

Time March 26, 2026
arrow
News | FDA

March 24, 2026 — MARS Bioimaging, a New Zealand–headquartered medical device company, has received U.S. Food and Drug ...

Time March 25, 2026
arrow
News | Cybersecurity

March 23, 2026 —Sacumen has launched ConnectX, a unified AI platform that gives cybersecurity product companies full ...

Time March 25, 2026
arrow
News | Radiology Imaging

March 23, 2026 — Samsung Medison hsa announced that its U.S. medical imaging businesses, previously operating as ...

Time March 23, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

March 18, 2026 — GE HealthCare and Springbok Analytics have entered a development agreement that will aim to leverage ...

Time March 18, 2026
arrow
News | Breast Imaging

March 10, 2026 — QT Imaging Holdings has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an ...

Time March 13, 2026
arrow
News | Lung Imaging

March 11, 2026 — Noah Medical has announced the publication of the MATCH 2 study in the international, peer-reviewed ...

Time March 12, 2026
arrow
News | Stroke

March 11, 2026 — Brainomix, a provider of AI-powered imaging tools for stroke and lung fibrosis, has announced the ...

Time March 11, 2026
arrow
News | HIMSS

March 9, 2026 — Fujifilm Healthcare Americas Corp. is showcasing how its latest AI-powered enterprise imaging solutions ...

Time March 10, 2026
arrow
News | Computed Tomography (CT)

March 5, 2026 — At ECR 2026, Royal Philips introduced Rembra, its next-generation radiology CT system designed for the ...

Time March 09, 2026
arrow
Subscribe Now