Technology | Artificial Intelligence | May 15, 2019

FDA Clears Aidoc's AI Solution for Flagging Pulmonary Embolism

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.

Read the article "Aidoc Announces CE Mark for AI-based Pulmonary Embolism Workflow Tool"

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

Basic artificial intelligence is already incorporated into several premium echocardiography systems. This example is from the Philips Epiq, which can take 3-D datasets and the AI automatically identifies and segments the cardiac anatomy. It then extracts the best images for each of the standard views for an echocardiogram to eliminate variation between operators. The next generation echo AI software will pull in data from the electronic medical records and imaging data to offer suggested diagnoses.

Basic artificial intelligence is already incorporated into several premium echocardiography systems. This example is from the Philips Epiq, where the AI takes 3-D datasets and automatically identifies and segments the cardiac anatomy. It then extracts the best images for each of the standard echocardiogram views to eliminate variation between operators. The next generation echo AI software will pull in data from the electronic medical records and imaging data to offer suggested diagnoses.

Feature | Artificial Intelligence | May 07, 2019 | Ross Upton
Artificial Intelligence has a multitude of impacts on our daily lives, from recommending movies based upon your Netfl
FDA Proposes New Review Framework for AI-based Medical Devices
News | Artificial Intelligence | April 02, 2019 | Jeff Zagoudis, Associate Editor
U.S. Food and Drug Administration (FDA) Commissioner Scott Gottlieb, M.D., announced Tuesday the agency is pursuing a...
New Consensus Document Explores Ethical Use of AI in Radiology
News | Artificial Intelligence | March 05, 2019 | Jeff Zagoudis, Associate Editor
The American College of Radiology (ACR) is one of seven professional societies behind a new consensus document on the...
RSNA Offers First U.S. Spotlight Course on Artificial Intelligence
News | Artificial Intelligence | March 05, 2019
The Radiological Society of North America (RSNA) announced an expansion of its artificial intelligence (AI) education...
ACC Future Hub

Presenter delivers pitch at last year’s ACC Future Hub. This year during ACC.19, entrepreneurs will pitch software and hardware specific to cardiology in two categories– artificial intelligence and digitally enabled medical devices. (Image courtesy of ACC)

Feature | Artificial Intelligence | March 01, 2019 | By Greg Freiherr
Entrepreneurs to pitch innovative ideas at ACC
Siemens Healthineers Demonstrates Artificial Intelligence, Healthcare Digitalization at HIMSS19
News | Artificial Intelligence | February 13, 2019
At the 2019 Healthcare Information and Management Systems Society (HIMSS) global conference and exhibition, Feb. 11-15...
Medical Imaging AI Fundings Tops $1.2 Billion Worldwide
News | Artificial Intelligence | February 04, 2019
In 2018, capital investment in companies developing artificial intelligence (AI)-enabled medical image analysis...
Overlay Init