CINA Aortic Dissection is a triage application to accurately detect aortic dissection on Chest or thoracoabdominal CTA. Ground-truth annotations were performed via consensus by 2 US board-certified radiologists on a very wide range of data. The validation of the application used data arising from over 200 centers , 44 states. CINA Aortic Dissection is a robust AI application for your clinical environnement.

Value Proposition

Aortic dissection is a rare but catastrophic disease requiring immediate patient management. CINA Aortic dissection is a tool helping speed up treatment and patient management.

Narrative

Aortic dissection is an emergency condition. Delayed patient management can lead to dramatic consequences. CINA Aortic Dissection automatically detects the aortic dissection and notify the clinical team in order for the radiologist to faster review the case and diagnosis the condition.

Intended Use

CINA CHEST is a radiological computer aided triage and notification software indicated for use in the analysis of Chest and Thoraco-abdominal CT angiography. The device is intended to assist hospital networks and trained radiologists in workflow triage by flagging and communicating suspected positive findings of (1) Chest CT angiography for Pulmonary Embolism (PE) and (2)  Chest or Thoraco-abdominal CT angiography for Aortic Dissection (AD).
CINA CHEST uses an artificial intelligence algorithm to analyze images and highlight cases with detected PE and AD on a standalone Web application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected PE or AD findings.
 Notifications include compressed preview images that are meant for informational purposes only, and are not intended for diagnostic use beyond notification. The device does not alter the original medical image, and it is not intended to be used as a diagnostic device.
The results of CINA CHEST are intended to be used in conjunction with other patient information and based on professional judgment to assist with triage/prioritization of medical images. Notified clinicians are ultimately responsible for reviewing full images per the standard of care.

Limitations

CINA Aortic dissection may fail to flag and communicate suspected positive findings of Chest or Thoraco-abdominal angiography for Aortic Dissection (AD) in the situations below:
Bad contrast filling: series displaying no visible contrast due to bad bolus timing during the series acquisition process,
inadequate field of view,
huge motions artifacts,
severe streak artifacts.

Model performance metrics

For the “Aortic Dissection” prioritization and triage application, Sensitivity and Specificity are 96.4% and 97.5% , respectively. The ROC curve for AD detection showed an AUC of 0.97 .

cercle-AI

Avicenna.ai

Avicenna.AI was born in 2018 from the collaboration of Cyril Di Grandi, Software and Medical Device expert and Dr. Peter Chang, Radiologist and AI expert. This collaboration of experts, radiologists and software engineers who believe that your clinical needs should be the only drivers of new technologies. Thanks to a young team with a common goal of innovation, excellence and transmission, we are bringing a new solution to emergency medicine.