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According to the World Health Organization, Alzheimer's disease is the most common cause of dementia, accounting for 70% of dementia cases
Medical professionals all over the world are working hard to raise awareness of the early diagnosis of Alzheimer's disease, which provides patients with a better opportunity to benefit from treatment
Image processing is entrusted to the machine
One of the first symptoms of Alzheimer's disease may be mild cognitive impairment (MCI), which is a stage of cognitive decline between normal aging and dementia
However, although theoretically feasible, manually analyzing fMRI images to try to identify changes related to Alzheimer’s disease requires not only specific knowledge, but also time-consuming—application of deep learning and other artificial intelligence methods can greatly Shorten the time of this process
"Modern signal processing allows image processing to be delegated to a machine so that it can be done faster and more accurately
We need to make the most of data
The model based on deep learning was developed in a fruitful collaboration by leading researchers in the field of artificial intelligence in Lithuania, using the famous fine-tuned ResNet 18 (residual neural network) modification to perform functional MRI images obtained by 138 subjects Classification
The model can effectively discover the MCI features in a given data set.
"Although this is not the first attempt to diagnose early Alzheimer's disease from similar data, our main breakthrough is the accuracy of the algorithm
According to him, the algorithm can be developed into software to analyze data collected from vulnerable groups (over 65 years of age, with a history of brain damage, high blood pressure, etc.
"We need to make full use of data," Maskeli? "That's why our research group focuses on European open science principles so that anyone can use our knowledge and further develop it
The principal researcher's main research area is the application of modern artificial intelligence methods in signal processing and multimodal interfaces.
"Technology can make drugs more accessible and cheaper
Journal Reference :
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius.
