Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes

X Du, J Novoa-Laurentiev, JM Plasek, YW Chuang… - …, 2024 - thelancet.com
Summary Background Large language models (LLMs) have shown promising performance
in various healthcare domains, but their effectiveness in identifying specific clinical …

Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning

X Zhang, S Vemulapalli, N Talukdar, S Ahn… - arXiv preprint arXiv …, 2023 - arxiv.org
This study assesses the ability of state-of-the-art large language models (LLMs) including
GPT-3.5, GPT-4, Falcon, and LLaMA 2 to identify patients with mild cognitive impairment …

Feasibility of Using a Novel, Multimodal Motor Function Assessment Platform With Machine Learning to Identify Individuals With Mild Cognitive Impairment

JB Hall, S Akter, P Rao, A Kiselica… - Alzheimer Disease & …, 2024 - journals.lww.com
Methods: Our novel, multimodal motor function assessment platform integrates a depth
camera, forceplate, and interface board. Healthy older adults (n= 28) and older adults with …

[HTML][HTML] The importance of attentive primary care in the early identification of mild cognitive impairment: case series

W Jerjes - AME Case Reports, 2024 - ncbi.nlm.nih.gov
Background Mild cognitive impairment (MCI) is a condition often preceding Alzheimer's
disease and other dementias, characterized by subtle changes in cognitive function. While …

Enhancing Early Detection of Cognitive Decline in the Elderly through Ensemble of NLP Techniques: A Comparative Study Utilizing Large Language Models in …

X Du, J Novoa-Laurentiev, JM Plasek… - Medrxiv: the Preprint …, 2024 - europepmc.org
Background Early detection of cognitive decline in elderly individuals facilitates clinical trial
enrollment and timely medical interventions. This study aims to apply, evaluate, and …