- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
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.”)
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
