Can a New AI Tool Improve Detection of Incidental Pulmonary Embolism on CT?
Noting that only 25 percent of incidental emboli are identified in reporting of initial computed tomography (CT) exams, Avicenna.AI said the artificial intelligence (AI)-enabled CINA-iPE is geared toward detecting incidental pulmonary embolism (PE) on chest CT scans.
Avicenna.AI has launched CINA-iPE, an artificial intelligence (AI)-powered modality, which may facilitate the diagnosis of incidental pulmonary embolism (PE) on chest computed tomography (CT) examinations.
The company noted that CINA-iPE, which utilizes AI to analyze chest CT scans for incidental PE, is the first modality for CINA Incidental, a new suite of imaging tools geared toward enhancing CT diagnosis of unsuspected pathologies.
While incidental PE is frequently detected on chest CT, Avicenna.AI emphasized that incidental PE is a significant cause of mortality among patients with cancer and maintained that incidental emboli are commonly missed in reporting for initial CT assessments.
“Pulmonary embolism is a dangerous, life-threatening condition and with CINA-iPE, we hope to increase the number of patients identified with incidental PE and help improve their outcomes,” noted Cyril Di Grandi, cofounder and chief executive officer of Avicenna.AI.
Avicenna.AI said it will debut CINA-iPE at the European Congress of Radiology March 1-5, 2023 in Vienna, Austria.
(Editor’s note: For related content, see “Viz.ai Launches AI-Powered Vascular Imaging Software” and “PE Triage Platform from RapidAI Receives FDA 510(k) Clearance.”)
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June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
