Killam Seminar Series: AI - A New Frontier in CNS TB Diagnosis, a Pilot Project

Supported by the generosity of the Killam Trusts, The Neuro's Killam Seminar Series invites outstanding guest speakers whose research is of interest to the scientific community at the MNI and McGill University.

To attend in person, register here

To watch via vimeo, click here

Amal Saleh

Associate Professor of Radiology, Dean, School of Medicine, College of Health Sciences, Addis Ababa University, Ethiopia

Host: udunna.anazodo [at] mcgill.ca (Udunna Anazodo)

Abstract: CNS tuberculosis is one of the most devastating and severe forms of tuberculosis (TB), accounting for 5-10% of extrapulmonary TB, with high morbidity and mortality in 50% of patients. In resource-limited countries in sub-Saharan Africa, the widespread availability of cross-sectional imaging can be a challenge. AI improvement in the techniques of machine learning (ML) and deep learning (DL) in neuroradiology has primarily focused on neuro-oncology, stroke imaging, and hemorrhage. The question of exploring the role of AI in neuroimaging in low and middle-income countries (LMIC) and how well it will fare in the setting of images obtained from our own dataset (low-field magnets) remains.