0:00-42:58
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In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.
Featuring:
- Gavin Winston – LinkedIn, Website
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Links:
- Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study
- Machine Learning in Neuroimaging across Disciplines
- Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS
- Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure
- Deep learning in neuroimaging of epilepsy
- Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy
- Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data
LinkedIn
linkedin.comWebsite
deptmed.queensu.caWebsite
chrisbenson.comGitHub
github.comLinkedIn
linkedin.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.comMachine Learning in Neuroimaging across Disciplines
research.hkbu.edu.hkDeep learning in neuroimaging of epilepsy
pubmed.ncbi.nlm.nih.govNon-parametric combination of multimodal MRI for lesion detection in focal epilepsy
pubmed.ncbi.nlm.nih.gov