The world of dementia diagnosis has seen a revolution in recent years, with advancements in medical science and the rise of technologies such as machine learning and artificial intelligence. They have paved the way for significant progress in tackling some of our most debilitating diseases. This week, a blend of machine learning and the decade-long Biobank project, which has been studying the health of thousands of Brits, made a new breakthrough in dementia diagnosis.
This could potentially identify common signs of dementia up to nine years before typical diagnoses. After examining over 1000 MRI scans, researchers claim their test is more than 80 per cent accurate, based on preliminary testing. What sets this test apart is that it measures signs in your brain while it is daydreaming.
However, in a world where medical technology is constantly advancing and neurodegenerative disorders like dementia are becoming increasingly prevalent, experts at Medical News Today spoke to expert neurologists and researchers to determine the potential usefulness of this new test, uncovering one major issue. Researchers from Queen Mary University of London analysed 1,111 functional MRIs (fMRIs) of people without dementia and processed it through a machine learning algorithm. They then cross-referenced this model with those who later developed a neurodegenerative disease, reports Gloucestershire Live .
The novelty of this analysis lies in its focus on when your brain is in "default mode." The res.
