Predicting dementia from spontaneous speech using large language models

F Agbavor, H Liang - PLOS digital health, 2022 - journals.plos.org
Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …

Artificial Intelligence-enabled end-to-end detection and assessment of alzheimer's disease using voice

F Agbavor, H Liang - Brain sciences, 2022 - mdpi.com
There is currently no simple, widely available screening method for Alzheimer's disease
(AD), partly because the diagnosis of AD is complex and typically involves expensive and …

Large language models in neurology research and future practice

MF Romano, LC Shih, IC Paschalidis, R Au… - Neurology, 2023 - AAN Enterprises
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

Blood and Cerebrospinal

PB Gorelick - Practical Aspects of Cognitive Impairment and the …, 2022 - books.google.com
The maintenance of brain health is a lifelong process whereby potentially deleterious
exposures such as cardiovascular risks, amyloid beta (Aẞ), and phosphorylated tau (p-tau) …

Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response

J Yang, KC Walker, AA Bekar-Cesaretli, B Hao… - International Journal of …, 2024 - Elsevier
Objective The rapid expansion of the biomedical literature challenges traditional review
methods, especially during outbreaks of emerging infectious diseases when quick action is …

Alzheimer's dementia speech (audio vs. text): Multi-modal machine learning at high vs. low resolution

P Priyadarshinee, CJ Clarke, J Melechovsky, CMY Lin… - Applied Sciences, 2023 - mdpi.com
Automated techniques to detect Alzheimer's Dementia through the use of audio recordings
of spontaneous speech are now available with varying degrees of reliability. Here, we …

Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum

F García-Gutiérrez, M Alegret, M Marquié… - Alzheimer's Research & …, 2024 - Springer
Background Advancement in screening tools accessible to the general population for the
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …

The Role of Conversational AI in Ageing and Dementia Care at Home: A Participatory Study

MR Lima, S Horrocks, S Daniels… - 2023 32nd IEEE …, 2023 - ieeexplore.ieee.org
Conversational artificial intelligence (AI) technologies hold significant promise to support the
independence, well-being and safety of older adults living with frailty or dementia at home …

Performance Assessment of ChatGPT versus Bard in Detecting Alzheimer's Dementia

B BT, JM Chen - Diagnostics, 2024 - mdpi.com
Large language models (LLMs) find increasing applications in many fields. Here, three LLM
chatbots (ChatGPT-3.5, ChatGPT-4, and Bard) are assessed in their current form, as publicly …

Linguistic-based Mild Cognitive Impairment detection using Informative Loss

AP Fard, MH Mahoor, M Alsuhaibani… - Computers in Biology and …, 2024 - Elsevier
This paper presents a deep learning method using Natural Language Processing (NLP)
techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive …