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95individuals. In terms of location, lobar haemorrhages %u2013 bleeding in the lobes of the brain %u2013 are more relevant to Alzheimer%u2019s disease than CMBs in other areas of the brain. Cognitive impairments and dementia are also linked to the density and location of CMBs,%u201d explains Prof. Qin. %u201cFurther studies are needed to confirm the exact relationships between CMBs and dementia. Our advanced deep learning networks can provide valuable data and insights that will help researchers conduct further investigations.%u201d MIND MATTERSAnother issue with brain imaging involves efficiency. A typical brain 3D MRI scan involves hundreds of slices. Traditionally, radiologists have had to examine each of these slices manually. This process is time-consuming, tedious, and difficult to perform on a large scale. What%u2019s more, to interpret the images accurately, radiologists need a sophisticated knowledge of brain anatomy. To overcome this limitation, the professors developed a new deep learning architecture %u2013 a novel voxelwise residual network (VoxResNet) to automatically segment key brain tissues in 3D images. This is of great significance for diagnosing a wide range of neurodegenerative diseases.AI models that combine multiple types of data improve the accuracy of dementia screening by identifying crucial genetic variations known as single nucleotide polymorphisms (SNPs) and brain regions related to the development of the disease. These models can automatically assess dementia risk with an average accuracy of up to 88%.