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AI could help diagnose Alzheimer's disease a decade earlier than doctors can

@machinelearnbot

Early diagnosis can help patients make lifestyle changes which may help slow the progression of Alzheimer's. A devastating chronic neurodegenerative disease, Alzheimer's disease (AD) currently affects around 5.5 million people in the United States alone. Causing progressive mental deterioration, it ultimately advances to impact basic bodily functions such as walking and swallowing. Looking for a way to help, researchers at the University of Bari and Istituto Nazionale di Fisica Nucleare in Italy have developed new machine learning AI technology that may help identify Alzheimer's a decade before doctors usually can, by way of non-invasive MRI brain scans. An early diagnosis -- before any of the symptoms a doctor might recognize become apparent -- could give patients a chance to make changes to their lifestyle which may slow Alzheimer's progression.


AI spots Alzheimer's brain changes years before symptoms emerge

New Scientist

Artificial intelligence can identify changes in the brains of people likely to get Alzheimer's disease almost a decade before doctors can diagnose the disease from symptoms alone. The technique uses non-invasive MRI scans to identify alterations in how regions of the brain are connected. Alzheimer's is a neurodegenerative disease that is the leading cause of dementia for the elderly, eventually leading to loss of memory and cognitive functions. The race is on to diagnose the disease as early as possible. Although there is no cure, drugs in development are likely to work better the earlier they are given.


AI COULD HELP DIAGNOSE ALZHEIMER'S DISEASE A DECADE EARLIER THAN DOCTORS CAN

#artificialintelligence

A devastating chronic neurodegenerative disease, Alzheimer's disease (AD) currently affects around 5.5 million people in the United States alone. Causing progressive mental deterioration, it ultimately advances to impact basic bodily functions such as walking and swallowing. Looking for a way to help, researchers at the University of Bari and Istituto Nazionale di Fisica Nucleare in Italy have developed new machine learning AI technology that may help identify Alzheimer's a decade before doctors usually can, by way of non-invasive MRI brain scans. An early diagnosis -- before any of the symptoms a doctor might recognize become apparent -- could give patients a chance to make changes to their lifestyle which may slow Alzheimer's progression. "We used this cohort to feed [our] artificial intelligence, then an independent test of about 148 subjects -- including controls, Alzheimer's disease and mild cognitive impairment (MCI) subjects -- was performed.



AI could spot Alzheimer's in MRI scans up to a decade before symptoms show

#artificialintelligence

Artificial intelligence can be trained to spot structural changes in the brain linked to Alzheimer's disease nearly 10 years before doctors can diagnose it through symptoms, researchers claim. Their algorithm was trained using MRI scans from 67 patients, 38 of which were from people affected by the disease and 29 from healthy patients. The scans came from the Alzheimer's Disease Neuroimaging Initiative database at the University of Southern California in Los Angeles. The algorithm correctly distinguished between healthy and diseased brains 86% of the time, according to the researchers, who added that it was also able to spot the difference between a healthy brain and a mild impairment with an 84% accuracy rating. The researchers said this showed it was possible for the AI to identify changes up to a decade before clinical symptoms of the disease appear.