Predicting dementia from spontaneous speech using large language models
Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …
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
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 …
(AD), partly because the diagnosis of AD is complex and typically involves expensive and …
Large language models in neurology research and future practice
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …
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) …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
This paper presents a deep learning method using Natural Language Processing (NLP)
techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive …
techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive …