Biomedical

A multi-modality fusion model based on dual-task measurement for the automatic detection of early-stage cognitive impairment

The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system

Predicting future cognitive decline from long-term observations of dual-task performance data

Predicting future cognitive decline from long-term observations of dual-task performance data

PPGCN: Phase-aligned periodic graph convolutional network for dual-task-based cognitive impairment detection

Predicting molecular interactions by graph convolutional neural networks with global features

Two-stream graph convolutional networks with task-specific loss for dual-task gait analysis

Detecting lower MMSE scores in older adults using cross-trial features from a dual-task with gait and arithmetic

Early detection of low cognitive scores from dual-task performance data using a spatio-temporal graph convolutional neural network

Statistical analysis of dual-task gait characteristics for cognitive score estimation