Augmented diagnosis, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology
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CINA LVO™

AI-based triage tool to flag suspected Large Vessel Occlusion on CT angiography.

Discover

CINA-LVO is a triage tool for neurovascular emergencies, designed to detect LVO of the anterior circulation (distal ICA, M1, or proximal M2) on CT angiographies of the head. 

Fond CINA-LVO
CINA-LVO is designed to detect LVO of the anterior circulation:

Distal ICA, M1, or proximal M2. 

Integration :

Results are sent to the PACS in the form of an additional 10mm MIP axial series and a single 10mm MIP coronal slice.

Triage & notification:

Information for triage column in the PACS or other notification system can be sent via DICOM or HL7.

Triage et notification :

les informations pour la colonne de triage dans le PACS ou un autre système de notification peuvent être envoyées via DICOM ou HL7

Saves time

done_all

By prioritizing those cases in the worklist, it drastically reduces turnaround time for ischemic stroke patients. 

Earlier warning

speed

Avicenna.AI alerts specialists 65 minutes earlier than the standard of care average time to notification reported in literature for LVO’s diagnosed with CT Angiography. 

Accelerate clinical workflow:

speed

Helping stroke teams in their diagnosis, improving patient outcomes, and decreasing the overall cost of care.

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Testimonial

“When dealing with a stroke, time is of the essence, and being able to prioritize effectively is critical to saving lives and improving outcomes. Not only does CINA helps radiologists to identify pathologies quickly, but also to highlight those that require the most urgent care.”

Dr Peter Chang,​

Radiologist
UC Irvine School of Medicine (US)

Publications

  1. Soun, J. E., Chow, D. S., Nagamine, M., Takhtawala, R. S., Filippi, C. G., Yu, W., & Chang, P. D. (2021). Artificial Intelligence and Acute Stroke Imaging. AJNR. American journal of neuroradiology, 42(1), 2–11. https://doi.org/10.3174/ajnr.A6883 

  2. McLouth, J., Elstrott, S., Chaibi, Y., Quenet, S., Chang, P. D., Chow, D. S., & Soun, J. E. (2021). Validation of a deep learning tool in the detection of intracranial hemorrhage and large vessel occlusion. Frontiers in Neurology, 12, 656112. https://doi.org/10.3389/fneur.2021.656112 

  3. Rava, R. A., Peterson, B. A., Seymour, S. E., Snyder, K. V., Mokin, M., Waqas, M., Hoi, Y., Davies, J. M., Levy, E. I., Siddiqui, A. H., & Ionita, C. N. (2021). Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients. The Neuroradiology Journal, 34(5), 408–417. https://doi.org/10.1177/1971400921998952  

Logo Avicenna

Founded in 2018, Avicenna.AI was born from a collaboration between Cyril Di Grandi, a software and medical device expert, and Peter Chang, MD, a radiologist and AI expert.

The company has assembled a team of experienced, dynamic and motivated professionals from multiple fields of expertise, from radiologists to software engineers, who believe in the power of new technologies to meet today’s clinical needs.

The CINA medical device is a regulated health product that carries the CE mark, Class I. Manufacturer: AVICENNA.AI. CINA is a diagnostic tool and should not be used alone to recommend medical management for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update: 14/02/2023

Save time, secure diagnosis and optimize your workflow with Incepto

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