News | Coronavirus (COVID-19) | May 08, 2020

FDA Approves Use of Aidoc’s AI Algorithms for Incidental CT Findings Associated with COVID-19

Facilitates timely patient workup to allow for activation of COVID-19 related protocols

 

Facilitates timely patient workup to allow for activation of COVID-19 related protocols

May 8, 2020 — Aidoc announced that the U.S. Food and Drug Administration (FDA) has allowed the use of their cleared AI algorithms intended for adjunctive use in the detection of findings associated with COVID-19.

The product detects and prioritizes incidental computed tomography (CT) findings associated with COVID-19 (e.g. GGO - a non-specific imaging finding associated with COVID-19 infection) in any CT study that contains the lung or part of the lung - for example chest, abdomen or cervical spine. Prioritization of these incidental findings may help manage the adverse effects of COVID-19 by providing adjunctive information that can promote further patient evaluation.  

“In our experience, it is not unusual for the radiologist to be the first to diagnose COVID-19 disease in patients especially when the disease is clinically unsuspected. The outbreak of the COVID-19 pandemic may occur in waves and should these waves occur, it will become increasingly important to identify imaging findings suggestive of COVID-19 in a variety of clinical settings,” said Paul Chang, M.D., vice chair, radiology informatics at University of Chicago Medicine. “Aidoc’s ability to detect and triage patients with incidental findings associated with COVID-19 acts as another layer of protection as the disease may continue to circulate in the months to come.”

In studies published by universities of Brussels, Chicago and Brescia, as well as a report from Maimonides Medical Center in New York, 8-10 percent of patients undergoing CT scans for other conditions were discovered by radiologists to have COVID-19. These patients, who were undergoing oncology screenings or being screened for abdominal pain, did not exhibit any COVID-associated respiratory symptoms. Prompt identification of these incidental findings allows action to be taken sooner with regard to treatment or appropriate isolation.  

Ahead of an expected surge of delayed elective medical imaging due to the COVID-19 pandemic, Aidoc’s solutions form a vital safety net that will help healthcare systems responsibly and efficiently address urgent, life-threatening conditions while managing their backlogs. This product is the latest addition to Aidoc’s suite of AI radiology solutions with FDA and CE clearances that flag critical conditions including intracranial hemorrhage, large-vessel occlusion, PE in pulmonary angiography and cervical spine fractures. 

For more information: www.aidoc.com

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A, Initial conventional axial CT image shows no noticeable lung damage (within red box) in right upper lobe. B, Electron density spectral CT image obtained at same time as image in A shows lesions (within red box) in right upper lobe. C, Follow-up conventional axial chest CT image obtained 5 days after images in A and B confirm presence of lesions (within red box) in right upper lobe.

A, Initial conventional axial CT image shows no noticeable lung damage (within red box) in right upper lobe. B, Electron density spectral CT image obtained at same time as image in A shows lesions (within red box) in right upper lobe. C, Follow-up conventional axial chest CT image obtained 5 days after images in A and B confirm presence of lesions (within red box) in right upper lobe. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

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