Karine Seymour is the President and Founder of Medexprim, whose mission is to help hospitals and radiology practices to securely and efficiently valorise their imaging data in research or AI projects. Medexprim publishes the Medexprim Suite™, a software solution that assists doctors in all the database preparation steps: from finding the right data, extracting it, enriching it, de-identifiying it, and storing it. Prior to founding Medexprim, Karine worked for 18 years in managing large hospitals & PACS (Picture Archiving and Communication Systems) and teleradiology projects. She has a strong knowledge of standards and regulatory requirements in medical imaging, eHealth and hospital information systems. She is also a reviewer on H2020 SME Instrument calls for the European
Commission. Karine holds a MASc in Electrical and Computer Engineering from University of British Columbia (Vancouver) received in 1997, and an Executive MBA from Toulouse Business School (Summa Cum Laude) received in 2017.
The data preparation process in AI and retrospective research projects
Getting access to enough curated, annotated, qualified data remains a challenge for most artificialintelligence and radiomics projects.
Although routine care data are abundant in various health facilities and radiology practices, their exploitation is not self-evident. We propose to describe the steps one needs to go through, taking into account medical, ethical, legal and technical issues.
EVEN MORE SEMINARS
Dr Ai Lyn Tan NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital, and University of Leeds
How imaging has enhanced knowledge about rheumatic diseases
Sandra Twardun GE Healthcare
Invenia™ Automated Breast Ultrasound – ABUS Dense Breasts - Looking For Cancers
Alison Hall Keele University, Cannock Hospital
Ultrasound guided corticosteroid injections in Musculoskeletal disease – the development of a Sonographer-led service
Marianthi-Vasiliki Papoutsaki Centre for Medical Imaging, University College of London
Harmonisation of prostate multiparametric MRI protocols across different sites
Professor David J. Lurie University of Aberdeen
Fast Field-Cycling MRI: A New Diagnostic Imaging Modality