Practical AI Seeing beyond the scan in neuroimaging
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Apr 30, 2025 
Gavin Winston, a Professor at Queen's University and an expert in neuroimaging and AI in healthcare, dives into the fascinating world of epilepsy diagnosis using machine learning. He reveals how MRI data can identify subtle brain abnormalities and discusses the cultural and ethical challenges of integrating AI in clinical settings. The conversation also covers the potential of AI to enhance diagnostic workflows and improve collaboration between radiologists and physicians, shaping a promising future for neuroimaging.
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Basics of Neuroimaging and MRI
- Neuroimaging uses various techniques to visualize brain structure and function non-invasively.
- MRI is the most common method, crucial for detecting abnormalities linked to neurological issues.
Machine Learning Emerged for Big Data
- The evolution from x-rays to CT and MRI dramatically improved brain imaging detail.
- Machine learning became vital to handle the huge and complex imaging data produced.
Adoption Gap for Medical AI
- Adoption of AI in medical practice lags due to concerns over data quality, ethics, and accuracy.
- Despite slow uptake, AI's future role in healthcare imaging is expected to grow significantly.