Chris Kalafatis

The paper uses multivariate pattern analysis on EEG data to show that mild cognitive impairment patients process animacy information more slowly and with different temporal patterns compared to healthy controls.

The paper evaluates an AI-based cognitive assessment tool for detecting cognitive impairment in MCI and AD patients, showing good validity and generalisability across populations.

The paper develops and validates a 5-minute AI-based cognitive test (ICA) for MS patients, showing high reliability, validity, and accuracy in detecting cognitive impairment.

The paper develops a 5-minute computerized cognitive assessment tool (ICA) that reliably measures cognitive performance through visual processing speed and accuracy, showing strong correlation with standard tests.