Attentive pairwise interaction network for AI-assisted clock drawing test assessment of early visuospatial deficits.

ABSTRACT: Dementia is a debilitating neurological condition which impairs the cognitive function and the ability to take care of oneself. The Clock Drawing Test (CDT) is widely used to detect dementia, but differentiating normal from borderline cases requires years of clinical experience. Misclassifying mild abnormal as normal will delay the chance to investigate for potential reversible causes or slow down the progression. To help address this issue, we propose an automatic CDT scoring system that adopts Attentive Pairwise Interaction Network (API-Net), a fine-grained deep learning model that is designed to distinguish visually similar images. Inspired by how humans often learn to recognize different objects by looking at two images side-by-side, API-Net is optimized using image pairs in a contrast

SUBMITTER: Raksasat R 

PROVIDER: S-EPMC10593802 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature