Avicenna.AI announces the introduction of CINA CHEST, including AI tools for detection and emergency triage of pulmonary embolism and aortic dissection Marseille, FRANCE – June
CINA® Head supports emergency room triage for intracranial hemorrhages and large vessel occlusions. Paris, FRANCE – July 14, 2020 – Medical imaging AI specialist Avicenna.AI today announced
The start-up Avicenna.ai completes its first round of financing for 3 million dollars. Marseille, February 06th, 2020 – Avicenna.ai SAS, a company specialized in the
Medical imaging AI innovator secures EU certification for CINA ASPECTS, which helps quantify the severity of a stroke from a brain CT scan. Paris, FRANCE
Cloud-based imaging platform integrates CINA Head for seamless detection and prioritization of ICH and LVO from CT scans. San Francisco, CA & Paris, FRANCE –
CINA Head’s LVO detection capability qualifies for new technology add-on payment. Paris, FRANCE – November 24th, 2020 – Medical imaging AI specialist Avicenna.AI today announced
CINA Head to be integrated with Canon’s Automation Platform for seamless detection and prioritization of intracranial hemorrhages and large vessel occlusions from CT scans. Paris,
Validation is a crucial step before a medical device (MD) is put on the market. We can easily think that validating an artificial intelligence triage
We all recognize that artificial intelligence plays an increasingly prominent role in the medical field today. Each day more and more software applications are being
Daniel Chow is a UCI Health radiologist who specializes in neuroradiology and diagnostic radiology. After obtaining his Medical degree at David Geffen School of Medicine
Thursday, 30th April was held the webinar organized by Dicoms Systems in collaboration with Avicenna.AI. Hosted by Florent Saint Clair, Executive Vice President at Dicom
Dr. Soun is a board-certified UCI Health diagnostic radiologist who specializes in neuroradiology. Her clinical interests include stroke and vascular imaging.
La startup ciotadienne veut rendre le diagnostic plus rapide, grâce à un logiciel qui reconnait la pathologie recherchée.
Installée à La Ciotat, cette entreprise offre aux radiologues un outil leur permettant de déterminer quels patients nécessitent une prise en charge d’urgence grâce à l’intelligence artificielle. Après avoir pris le temps de perfectionner sa solution, elle s’apprête à la mettre sur le marché et vise avant tout les États-Unis.
