Évènement

Feindel Brain and Mind Seminar Series: Towards Intelligent and Intuitive Neurosurgical Technology

Lundi, 26 février, 2024 13:00à14:00

Institut et Hôpital Neurologiques de Montréal De Grandpre Communications Centre, 3801, rue University, Montréal, QC, H3A 2B4, CA

La série Feindel Brain and Mind Seminar s’inscrit dans la ligne de pensée du Dr William Feindel (1918-2014), directeur du Neuro de 1972 à 1984, qui consiste à maintenir un lien constant entre pratique clinique et recherche. Les présentations porteront sur les dernières avancées et découvertes en neuropsychologie, en neurosciences cognitives et en neuro-imagerie.

Les scientifiques du Neuro, ainsi que des collègues et collaborateurs venus du milieu ou du monde entier, se chargeront des conférences. Cette série se veut un forum virtuel pour les chercheurs et les stagiaires en vue de favoriser les échanges interdisciplinaires sur les mécanismes des troubles cérébraux et cognitifs, leur diagnostic et leur traitement.

Pour participer en personne, inscrivez-vous ici

Pour visionner la diffusion sur Vimeo, cliquez sur le lien suivant

Yiming Xiao, PhD

Professeur adjoint, Département d'informatique et de génie logiciel, Université Concordia, Canada

Hôte: justine.clery [at] mcgill.ca (Justine Clergy)

Abstract: Approximately 10% of Canadians are affected by neurological disorders, such as Parkinson’s disease (PD), stroke, and brain tumors. These conditions often lead to severe disability and deaths, adversely impacting the lives of individuals and costing Canada billions of dollars per year. Neurosurgery plays a vital role in treating brain disorders, with 0.67 million essential neurosurgical cases in the US and Canada annually. Today, multi-modal bioimaging technology, such as MRI, CT, and optical imaging has become an integral component of the clinical care. The advancement of latest computational technologies, such as artificial intelligence and augmented reality/virtual reality (AR/VR) can greatly enhance the value of medical images to offer clinicians potentially more accurate and efficient tools in surgical planning and monitoring. The talk will focus on the development and integration of novel multi-modal medical imaging, AI, and AR/VR tools developed at the Health-X Lab of Concordia University to tackle existing challenges for the surgical care of neurological disorders, including Parkinson’s disease, brain tumor, and cerebrovascular diseases.

Yiming Xiao

Yiming Xiao is an Assistant Professor in Computer Science and Software Engineering, a Concordia University Research Chair in Intuitive and Intelligent Surgical Technologies, member of the Applied AI Institute and the School of Health at Concordia, and a FRQS Junior 1 Research Scholar. His research focuses on AI-facilitated neuroimage processing and analysis, image-based biomarker, and computer-assisted interventions.