Artificial Intelligence tool detects Alzheimer’s with 90% accuracy: Study

US researchers have developed a novel Artificial Intelligence-based tool that has shown 90 per cent accuracy in detecting Alzheimer’s disease from routinely collected clinical brain images.

The tool, developed by a team at Massachusetts General Hospital (MGH), may help clinicians identify patients who would benefit from treatment.

The results, published in the journal PLOS ONE, showed that the toll was able to detect Alzheimer’s disease regardless of other variables, such as age.

“Alzheimer’s disease typically occurs in older adults, and so deep learning models often have difficulty in detecting the rarer early-onset cases,” said Matthew Leming, a research fellow at MGH’s Center for Systems Biology.