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Found 4 papers, 0 papers with code
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Specifically, we develop a collaborative pipeline that combines SLs and LLMs via a confidence-driven decision-making mechanism, leveraging the strengths of SLs in clear-cut cases and LLMs in more complex scenarios.
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia.
MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionnaires, and videos.
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation
Even though there is mild cognitive decline in MCI patients, they have normal overall cognition and thus is challenging to distinguish from normal aging.
