Using data from more than 15,300 patients in the US, research from the University of Exeter found that a form of artificial intelligence called machine learning can accurately tell who will go on to develop dementia. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US. The attendees did not have dementia at the start of the study, though many were experiencing problems with memory or other brain functions.

Machine learning algorithms have been trained to predict the likelihood of a person developing dementia with 92 per cent accuracy, a study has concluded. Using data from over 15,300 patients in the US, research from Exeter University found that machine learning can accurately tell who will go on to develop dementia within two years of attending a memory clinic. The technique identifies hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US.

Dementia is a collection of neurodegenerative diseases, which 55 million people around the globe are living with, in the present, as we read this article. The number of people suffering from this syndrome is increasing as the proportion of older people rises in most countries. Currently, no cure is available to treat dementia. Early diagnosis offers the best chance of managing this condition. Most people visit memory clinics when they start experiencing cognitive impairments such as forgetfulness.

Professor David Llewellyn, an Alan Turing Fellow based at the University of Exeter, who oversaw the study, said: "We're now able to teach computers to accurately predict who will go on to develop dementia within two years. We're also excited to learn that our machine learning approach was able to identify patients who may have been misdiagnosed. This has the potential to reduce the guesswork in clinical practice and significantly improve the diagnostic pathway, helping families access the support they need as swiftly and as accurately as possible."

Artificial intelligence can predict who will develop dementia within two years of attending a memory clinic, according to a new large-scale study published in JAMA Network Open today, Thursday 16th December. Using data from more than 15,300 patients in the US between 2005 and 2015, researchers from the University of Exeter and The Alan Turing Institute found that one in ten (1,568) of those who attended a clinic received a new diagnosis of dementia within two years of their visit. The scientists also found that around eight per cent (130) of diagnoses were made in error, as their diagnosis was subsequently reversed. Machine learning models accurately identified more than 80 per cent of these inconsistent diagnoses. Dr Rosa Sancho, Head of Research at Alzheimer's Research UK said, "Artificial intelligence has huge potential for improving early detection of the diseases that cause dementia and could revolutionise the diagnosis process for people concerned about themselves or a loved one showing symptoms. "This technique is a significant improvement over existing alternative approaches and could give doctors a basis for recommending life-style changes and identifying people who might benefit from support or in-depth assessments." The researchers analysed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US. The attendees did not have dementia at the start of the study, though many were experiencing problems with memory or other brain functions. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. Professor David Llewellyn, a Fellow at The Alan Turing Institute based at the University of Exeter, who oversaw the study, said: "We're now able to teach computers to accurately predict who will go on to develop dementia within two years.

Artificial intelligence can reveal with incredible accuracy which individuals may develop dementia, new research has found. AI has a 92% accuracy rating for predicting which memory clinic attendees will have dementia within two years, according to the study, published Thursday in the journal JAMA Network Open. The findings are based on data from over 15,300 US patients. Authors say the algorithmic accuracy of AI predictions may be able to reduce the amount of false dementia diagnoses -- and possibly help doctors intervene earlier. "We know that dementia is a highly feared condition. Embedding machine learning in memory clinics could help ensure diagnosis is far more accurate, reducing the unnecessary distress that a wrong diagnosis could cause," said study co-author and University of Exeter research fellow Janice Ranson in a press release.

A new British artificial intelligence system can predict with up to 92% accuracy which people with memory problems will eventually develop dementia within the next two years. This is another indication that artificial intelligence has enormous potential that makes it possible to diagnose various diseases at an early stage. The goal is not only to diagnose impending dementia early, but also to reduce the number of people who are misdiagnosed with dementia. Researchers at the University of Exeter, led by Professor David Llewellyn, who published the study in the American medical journal JAMA Network Open, used data from 15,307 people with an average age of 72 with memory problems (of whom 1,568 had been diagnosed with Alzheimer's disease or another form of Alzheimer's disease). The "intelligent" system has learned to detect clues hidden in the data, which the human eye, even a neurologist or other specialist, cannot recognize.

Artificial intelligence can predict which people who attend memory clinics will develop dementia within two years with 92 percent accuracy, a largescale new study has concluded. Using data from more than 15,300 patients in the US, research from the University of Exeter found that a form of artificial intelligence called machine learning can accurately tell who will go on to develop dementia. The technique works by spotting hidden patterns in the data and learning who is most at risk. The study, published in JAMA Network Open and funded by funded by Alzheimer's Research UK, also suggested that the algorithm could help reduce the number of people who may have been falsely diagnosed with dementia. The researchers analyzed data from people who attended a network of 30 National Alzheimer's Coordinating Center memory clinics in the US.

Dementia is the deterioration of cognitive functioning thinking, remembering, problem-solving and reasoning which can interfere with daily life. Though dementia is more common in older adults, it is not a part of normal aging. It can also affect younger people. Are you at risk of developing dementia? Artificial intelligence can predict that, concluded a study published in JAMA Network Open.

The machine learning algorithm predicted new dementia cases with up to 92% accuracy, significantly more precise than two existing alternative …