Scientists use computers to diagnose Alzheimer's disease with 96% accuracy

scientists at the University of London,, recently used a computer to scan the brain-specificof Alzheimer's patients, with a 96 per cent accuracyThis finding ensures early diagnosis of,an opportunity to increase treatmentIt is reported that,Alzheimer's disease is caused by theof the plaques and nerve fibers that make up the brain,cause the brain to shrinkThe usual diagnostic methods are not only time-consuming, butare also difficult to distinguish from other types of dementiaA team of researchers at the Wellcome Trust's Neuroimaging Centre at the University of London has revealed the results of scans of the brains of alzheimer's patientsComputers can identify brain-specific damage in Alzheimer's patients, and "using computer scanning is faster, more accurate, and cheaper than the common diagnostic methods available today." Professor Richard Frackowiak, of the centre, explains, "The new approach avoids artificial interference and makes the diagnosis more objective." The new method was found by using computers to scan the brains of people withhealth The two scenarios can be distinguished with high precision by a single clinical MRI scan "
computer can accurately find the difference between normal people and Alzheimer's patients through a set of scans, and then scan other cases based on the correct diagnosis." Its accuracy is better than the best clinical practice diagnosis at present 86% accuracy rate The researchers also found that they were able to identify a type of dementia similar to Alzheimer's disease better than clinicians Dementia is misdiagnosed as Alzheimer's in many cases Professor Frackowiak stressed that a considerable amount of damage to the human brain in the brain can produce signs of a disease , so an early and accurate diagnosis is important to improve effective lying down the brain "The next step is to see if we can use a technique to determine the extent of the patient's illness." "This allows for a quick test of the efficacy of new drugs with non-invasive tools," says Professor Frackowiak "
(compiled by Ma Junhu)