Pie & AI Suisse webinar: Using AI with CT images to diagnose COVID-19

Abstract
The number of CT scans with Covid-19 images is growing spectacularly, even with patients without clinical suspicion or with a negative RT-PCR test. Many hospitals are making the same observation. The number of institutions using CT to screen patients suspected of carrying the virus is increasing, although the technique is not advocated everywhere as a primary screening technique for that purpose. The image above is a CT-scan requested for a patient that was suspected of pulmonary embolism.

Erik R. Ranschaert (ETZ) and Laurens Topff from the NKI-AVL (Amsterdam) decided to launch an international research AI-project on CT for COVID-19. In collaboration with EuSoMII, several European institutions and the financial and logistic support of Jonathan Berte, CEO of Robovision and Ángel Alberich-Bayarri, CEO of Quibim, the team will train an algorithm with CT images, with the intention of facilitating the diagnosis of COVID-19 with CT and allowing them to make a correct assessment of the degree of lung impairment.

Agenda

(1) How to fight the COVID-19 virus with AI for medical imaging / Erik R. Ranschaert

(2) Deep learning as a game-changer for large scale CT analysis / Jonathan Berte

(3) How to make seamless AI models integration in clinical routine / Angel Alberich-Bayarri

Speaker

Erik R. Ranschaert is the president of the European Society of Medical Imaging Informatics (EuSoMII.org), and also a co-editor of the first book on AI in Medical Imaging, published by Springer in 2019. He obtained a Ph.D. degree in Medical Sciences at the University of Antwerp in 2016, with a thesis titled “The Impact of Information Technology on Radiology Services”

Jonathan Berte is the founder of Robovision.AI, a leading European AI company and worldwide reference in deep learning. Jonathan graduated as a Master in Applied Physics at the University of Gent in 2002. During his curriculum, he studied applied neurology at the Institute of Neuroinformatics (INI) in Zurich (ETHZ). His stay in Switzerland triggered him as a pioneer in artificial intelligence, as he realized very soon the massive societal impact this new technology would bring.
Jonathan was awarded the engineer of the year 2019, Belgium.

Angel Alberich-Bayarri, has earned a PhD in Biomedical Engineering by the Technical University of Valencia, Spain. His main research line is the development of medical image post-processing and AI algorithms for the extraction of quantitative imaging biomarkers. Author of more than 60 papers in the field of imaging biomarkers and AI. Awarded as Innovator under 35 by MIT.

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