CognoStroke: Automated Cognitive and Mood Assessment on the Hyper-Acute Stroke Unit.

ABSTRACT: Background: Cognitive and mood impairments are common in Stroke Survivors (SSs), leading to worse outcomes and poorer quality of life measures. Current methods of assessment of mood and cognitive performance are time consuming and rely on health care professionals. This makes assessment in hyper-acute stroke units (HASU) difficult. Here we describe the use of CognoStroke, an automated assessment of mood and cognitive impairment in the HASU. Methods: Using conversational interaction delivered through a virtual, web-based agent (CognosStroke), speech analysis was performed using three large language models (GPT2, Facebook.BART-based, and RobERTa-base) to classify thresholds levels of MoCA (threshold: 22,23,24,25,26), GAD-7 (above 5 and 10), and PHQ-9 (above 5 and 10). Results a

SUBMITTER: Bell SM 

PROVIDER: S-EPMC12652918 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature