CINA PE
Pulmonary embolism (PE) is a substantial global health concern, responsible for a significant number of fatalities, illnesses, and hospital stays across the globe.
CINA-PE is a radiological computer aided triage and notification software indicated for use in the analysis of Chest and Thoraco-abdominal CT angiography. CINA-PE uses an artificial intelligence algorithm to analyze images, flags pulmonary embolism and notify the clinical team.
AI powered detection
A cutting-edge solution that swiftly and automatically detects pulmonary embolism on chest CT Scan, from main to segmental arteries.
Seamless integration
CINA-PE integrates into clinical workflows, automatically triggers and reports algorithm results through the existing systems already used by radiologists and emergency departments.
Automatic detection and flag of pulmonary embolisms from main to segmental arteries
Reduction of wait time up to 47% for patients with pulmonary embolism
Save time, secure your diagnosis and optimize your workflow with Incepto
Publications
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Vallée A, Quint R, Laure Brun A, Mellot F, Grenier PA. A deep learning-based algorithm improves radiology residents' diagnoses of acute pulmonary embolism on CT pulmonary angiograms. Eur J Radiol. 2024 Feb;171:111324. doi: 10.1016/j.ejrad.2024.111324. Epub 2024 Jan 17. PMID: 38241853.
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Shapiro, Jacob et al. The Use of Artificial Intelligence Technology in the Detection and Treatment of Pulmonary Embolism at a Tertiary Referral Center. Journal of Vascular Surgery, Volume 78, Issue 3, e23
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Grenier PA, et al. Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms. Diagnostics (Basel). 2023
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Ayobi, Angela & Chang, Peter & Chow, Daniel & Weinberg, Brent & MEng, Maxime & Franciosini, Angelo & Scudeler, Marlene & MEng, Sarah & Avare, Christophe & Chaibi, Yasmina. (2024). Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection. Clinical Imaging. 113. 110245. 10.1016/j.clinimag.2024.110245.
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Schlossman J. et al. Validation of a Deep Learning Tool for Automatic Pulmonary Embolism Detection. ATS 2023
Regulatory
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