Application of Artificial Intelligence in Early Diagnosis of Alzheimer’s Disease

Modern clinical practice encounters with ever-increasing volumes of clinical data. Therefore, itis imperative to develop efficient methods to process and make sense of these large amounts ofdata. Artificial intelligence is one of the methods that can be used to solve many health problems.Alzheimer’s disease (AD) is an incurable neurodegenerative disease diagnosed by a physicianbased on medical records and imaging studies. These methods lack sensitivity and specificity,necessitating new antemortem noninvasive strategies for diagnosing AD.Recent studies have showed that machine learning methods can be used to diagnosis and predictAD based on transcriptome data which obtained from the blood sample of AD patients and sequencedthrough microarray technique. machine learning models through processing differentparameters can identify people with high risk of developing AD. Methods such as support vectormachine can help to achieve receiver operating characteristic (ROC) scores of ۹۳% and accuracyof ۸۹%.Additionally, there is growing evidence that combining artificial intelligence approaches withMRI can be particularly helpful in improving diagnostic accuracy for various types of dementia.Studies have reported that Combining AI technology and MRI improves diagnostic accuracyfrom ۷۳.۳% to ۹۹%.Currently, we are building a large database of people with Alzheimer’s disease, so that we cancreate a suitable dataset which meet the requirements of artificial intelligence developer.We are interested in creating a large database, with more accurate characteristics, which finallyresults in artificial intelligence tool which can help us in better and faster diagnosis.

کلیدواژه ها:

Artificial intelligence ، Alzheimer’s disease ، support vector machines ، magnetic resonance imaging