Machine Learning to help neuroradiologists make faster and more accurate diagnoses
We use Machine learning to automatically derive accurate brain features (e.g. the volume of the hippocampus) from brain scans and compare them to a normative population. We also provide handy 2D and 3D visualisations of brain features. This not only saves time to neuroradiologists but also empowers them to make highly accurate reports, by using the latest techniques and findings in neurosciences. We are currently running trials with select clinics in India, Pakistan and Ukraine.
We are building the world’s most accurate brain degeneration predictor using brain imaging data. Most brain degeneration predictors use only volumetric measurements to predict whether a brain is degenerating, which limits their accuracies. We use data not only from structural MRI scans but also from diffusion and functional MRI scans to maximize the sensitivity and specificity of our prediction. Combining these three types of scans has been shown to reduce the rate of misdetection of Alzheimer's Disease by half, compared to using only structural scans.
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