Testing cognition without bias

Cognetivity Neurosciences Ltd. has developed an image-based cognitive function test that avoids the confounding biases inherent to standard tests and uses artificial intelligence (AI) to interpret the results. The test could enable better detection of cognitive impairment in Alzheimer's disease and other neurodegenerative conditions.

Diagnostic scores from standard cognitive function tests, including the usually paper-based Montreal Cognitive Assessment (MoCA) and Addenbrooke's Cognitive Examination- Revised (ACE-R) tests, can be skewed by the test taker's language and education level, with high education levels correlating with better scores. The tests also suffer from a learning bias, in which repeated exposure enables test takers to figure out what responses yield better scores. ...