Killam Seminar Series: AI - A New Frontier in CNS TB Diagnosis, a Pilot Project
Gr芒ce 脿 la g茅n茅rosit茅 des fiducies Killam, Le Neuro convoque lors d鈥檜ne s茅rie de s茅minaires des conf茅renciers d鈥檈xception dont les travaux passionnent ses chercheurs et ceux de l鈥橴niversit茅 McGill.听
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Amal Saleh
Professeure de radiologie, doyenne de l'脡cole de m茅decine, Coll猫ge des sciences de la sant茅, Universit茅 d'Addis-Abeba, 脡thiopie
贬么迟别:听udunna.anazodo [at] mcgill.ca (Udunna Anazodo)
Abstract:听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.
