Using artificial intelligence, scientists intend to study changes in the gray matter density of the brain and use this method to predict the time of Alzheimer’s disease and dementia.
Advances in artificial intelligence have created new possibilities for healthcare, and the analysis of medical images is a major strength of this technology. Scientists at the University of Cambridge are now developing a new type of machine learning algorithm they presented They say they can detect structural changes in the brain that indicate early dementia and, by performing standard memory tests, calculate the likelihood of people developing Alzheimer’s.
The scientists trained their machine learning algorithm on brain scans of patients with Alzheimer’s disease, and were able to study structural changes in the gray matter density of the brain during the stages of disease formation.
The algorithm was used to scan the brains of patients with problems such as mild cognitive impairment, memory loss, speech problems and visual perception. Then, using memory tests, the scientists’ algorithm was able to predict people with Alzheimer’s disease and their cognitive decline with 80% accuracy.
Professor Zoe Kurtzi states:
“We hope to be able to identify patients over time 5 to 10 years before they show symptoms.”
Although data from PET scans, MRIs, or other types of medical imaging now provide a wealth of information to physicians, artificial intelligence can enhance the way diseases are examined and diagnosed. Modern computing power uses machine learning algorithms to detect subtle changes in brain tissue, some of which may be beyond the reach of physicians.
Finally, it should be noted that the algorithm of scientists is still in the early stages of development and its use requires much more work. Scientists are currently conducting clinical studies in this area and hope to identify other unique patterns of structural changes in the brain and use them to diagnose other types of dementia.