Technology | Artificial Intelligence | May 15, 2019

Artificial intelligence solution flags and triages PE cases in chest CT scans

FDA Clears Aidoc's AI Solution for Flagging Pulmonary Embolism

May 15, 2019 — Artificial intelligence (AI) solutions provider Aidoc has been granted U.S. Food and Drug Administration (FDA) clearance for an additional product in its expanding suite of AI-based workflow orchestration solutions. The clearance is for Aidoc's Pulmonary Embolism (PE) solution that works with radiologists to flag and triage PE cases in chest computed tomography (CT) scans. The approval comes just weeks after Aidoc closed a $27 million funding round, bringing its total funding to $40 million.

"In addition to the significant value provided to the department by Aidoc's ICH [Intracranial Hemorrhage] solution, we recently added the PE module to the workflow," said Barry Pressman, M.D., chair of imaging at Cedars-Sinai Medical Center. "I was impressed by the fact that the coverage continuously grows, allowing us to add this product in the workflow of more radiologists, becoming part of our daily work. I was also pleased by the ability of the software to prioritize PE studies accurately."

In the United States alone, up to 200,000 people a year die due to PE.1 Undetected or late-detected PE is one of the most common causes of preventable death in hospitalized patients. PE diagnosis can be highly challenging due to its variable and non-specific presentation, making AI-driven workflow triage especially beneficial. Recent research published at the 2019 European Congress of Radiology (ECR) in Vienna2 further shows the accuracy and value Aidoc's solution can provide, according to the company.

"It is clear that AI will play a tremendous role in the future of radiology," said Daniel J. Durand, M.D., chair of radiology at LifeBridge Health, Baltimore. "Considering the complexity of vascular diagnosis, we are eager to see how Aidoc's solutions can benefit our pulmonary embolism patients and bring tomorrow's technology to LifeBridge Health today."

Aidoc's solutions analyze medical images directly after the patient is scanned and notify the radiologists of cases with suspected findings, to assist with prioritization of time-sensitive and potentially life-threatening cases. Aidoc cuts the time from scan to diagnosis for some patients from hours to under five minutes, speeding up treatment and improving prognosis.

For more information: www.aidoc.com

References

1. Tarbox A.K., Swaroop M. Pulmonary embolism. International Journal of Critical Illness & Injury Science, published online March 22, 2013. DOI: 10.4103/2229-5151.109427

2. Weikert T.J., Winkel D.J., Bremerich J., et al. Abstract B-1211: AI-powered detection of pulmonary embolism in CT pulmonary angiograms: a validation study of the diagnostic performance of prototype algorithms. Presented at ECR 2019, March 2, 2019.


Related Content

News | Radiology Imaging

Aug. 13, 2026 — Epic's new Care Everywhere Diagnostic Image Exchange allows health systems using Epic to share ...

Time August 21, 2026
arrow
News | Cardiac Imaging

Aug. 20, 2026 – The novel, radiopaque, polymer-based embolic coil from Embolization, Inc. has now surpassed 125 implants ...

Time August 20, 2026
arrow
News | Breast Imaging

Aug. 13, 2026 – Perimeter Medical Imaging AI recently announced that Intermountain Health, the largest nonprofit health ...

Time August 14, 2026
arrow
News | Lung Imaging

Aug. 11, 2026 — Noah Medical has launched the Galaxy II software, the next evolution of its robotic-assisted ...

Time August 10, 2026
arrow
News | Radiology Business

Aug. 4, 2026 — Canon Medical Systems USA (CMSU) has appointed Tsuneo "Neo" Imai as president and chief executive officer ...

Time August 10, 2026
arrow
Feature | Artificial Intelligence | Kyle Hardner

Could the era of the empowered patient change how imaging reports are structured and presented? It’s a question on the ...

Time August 03, 2026
arrow
News | Computed Tomography (CT)

July 23, 2026 — HOPPR has introduced HOPPR EF Chest CT Narrative Model, a foundation model that processes 3D chest CT ...

Time July 27, 2026
arrow
News | Radiation Oncology

July 16, 2026 — Raidium has announced the U.S. launch of Raidium Read (R.Read), applying its AI-native imaging solution ...

Time July 16, 2026
arrow
Feature | Information Technology | Kyle Hardner

Artificial intelligence (AI) has enhanced diagnostic accuracy and improved triage in radiology. But far fewer tools ...

Time July 16, 2026
arrow
News | PACS

July 8, 2026 — Freeland Systems, a cloud PACS and clinical imaging software company, has launched its new customer ...

Time July 10, 2026
arrow
Subscribe Now