AI can diagnose Alzheimer’s with a greater than 95 percent accuracy

Forgot about expensive scans or in-person testing for Alzheimers.  Now a team from Stevens Institute of Technology has developed an AI tool that can not only diagnose at a negligible cost Alzheimers with a greater than 95 percent accuracy but also support its conclusions.

The tool works by detecting subtle difference in the way that Alzheimer’s sufferers use language “This is a real breakthrough,” said the tool’s creator, K.P. Subbalakshmi, founding director of Stevens Institute of Artificial Intelligence and  professor of electrical and computer engineering at the Charles V. Schaefer School of Engineering & Science. “We’re opening an exciting new field of research, and making it far easier to explain to patients why the A.I. came to the conclusion that it did, while diagnosing patients. This addresses the important question of trustability of A.I .systems in the medical field.”

This tool is designed to be both modular and transparent.  What this means is that if other researchers identify new markers of Alzheimer’s, Stephens Institute of Technology can simply plug those into their architecture to generate even better results.