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
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
A key evolution and need increasingly recognized in the realm of healthcare AI is the customization of algorithms dedicated to the unique problems posed by
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.
Avicenna.AI, in partnership with Olea Medical – Improved Diagnosis for Life, developed an application analyzing chest CT images and detecting areas affected by COVID-19.
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
Currently pursuing a master’s degree in Innovation Management, I joined the Avicenna Ai team on March 30, 2020. I have a rather peculiar academic background.
Being in my last year of engineering school at Télécom Physique Strasbourg, I had to do an internship at the end of my studies. During
From an initial training as a medical electro-radiology manipulator, I then went on to a master’s degree in biomedical engineering, with the aim of completing
Floriane also joined us at the beginning of February to work on the development of our own tools with Arthur. After obtaining my Bac S,
Arthur was the first intern to join us in early february for working on our internal tools: I’ve been back in school since last year,
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.
