AI can now predict who will develop DEMENTIA, study reveals

Artificial intelligence systems have been developed to predict whether someone will develop dementia within two years, with 92 per cent accuracy, its developers claim.

Data from 15,300 patients in the US was used to train the AI by researchers from the University of Exeter, teaching it who would and wouldn’t go on to develop dementia.

The technique works by spotting patterns in the data and learning who is most at risk, with researchers hoping it could cut the number of people wrongly diagnosed.

Artificial intelligence systems have been developed to predict whether someone will develop dementia within two years, with 92 per cent accuracy, its developers claim

Professor David Llewellyn, an Alan Turing fellow based at the University of Exeter, who oversaw the study, said the machine learning algorithm can predict who will 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,’ he said.

‘This has the potential to reduce the guesswork in clinical practice and significantly improve the diagnostic pathway.’

Prof Llewellyn added that it would help ‘families access the support they need as swiftly and as accurately as possible.’

Between 2005 and 2015, one in 10 attendees (1,568) at a memory clinic received a new diagnosis of dementia within two years of their visit.

The researchers found that around eight per cent (130) of the dementia diagnoses appeared to be made in error, as the diagnosis was subsequently reversed.

According to the study, published in JAMA Network Open, machine-learning models accurately identified more than 80 per cent of these inconsistent diagnoses.

The research suggests AI can not only accurately predict who will be diagnosed with dementia, but has the potential to improve the accuracy of the diagnoses.

Machine learning works by using patient information routinely available in the clinic, such as memory and brain function, performance on cognitive tests and specific lifestyle factors.

The team plans follow-up studies to evaluate the practical use of the machine-learning method in clinics, to assess whether it can be rolled out to improve diagnosis, treatment and care.

The researchers analysed data from people who attended a network of 30 National Alzheimer’s Coordinating Centre 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.

Dr Janice Ranson, Research Fellow at the University of Exeter, involved in the study, said ‘we know that dementia is a highly feared condition.’

Data from 15,300 patients in the US was used to train the AI by researchers from the University of Exeter, teaching it who would and wouldn’t go on to develop dementia

‘Embedding machine learning in memory clinics could help ensure diagnosis is far more accurate, reducing the unnecessary distress that a wrong diagnosis could cause,’ she added.

Dr Rosa Sancho, head of research at Alzheimer’s Research UK, which funded the research, said it has a huge potential for improving disease detection.

He 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 lifestyle changes and identifying people who might benefit from support or in-depth assessments.’

The findings have been published in the journal JAMA Network Open.

 

Original post: https://www.dailymail.co.uk/sciencetech/article-10317707/AI-accurately-predict-develop-dementia-two-years-study-suggests.html

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