[HTML][HTML] Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - Informatics, 2024 - mdpi.com
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

[HTML][HTML] Deep learning-based diagnosis of Alzheimer's disease

TJ Saleem, SR Zahra, F Wu, A Alwakeel… - Journal of Personalized …, 2022 - mdpi.com
Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …

Deep learning-based speech analysis for Alzheimer's disease detection: a literature review

Q Yang, X Li, X Ding, F Xu, Z Ling - Alzheimer's Research & Therapy, 2022 - Springer
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

Alzheimer's disease classification using pre-trained deep networks

JV Shanmugam, B Duraisamy, BC Simon… - … Signal Processing and …, 2022 - Elsevier
Alzheimer disease (AD) is a progressive neurologic disorder that causes the brain to shrink
(atrophy) and brain cells to die. Alzheimer disease is the most common cause of dementia …

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia

E Ford, R Milne, K Curlewis - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

[HTML][HTML] Cyberbullying detection on social media using stacking ensemble learning and enhanced BERT

A Muneer, A Alwadain, MG Ragab, A Alqushaibi - Information, 2023 - mdpi.com
The prevalence of cyberbullying on Social Media (SM) platforms has become a significant
concern for individuals, organizations, and society as a whole. The early detection and …

[HTML][HTML] Speech and language processing with deep learning for dementia diagnosis: A systematic review

M Shi, G Cheung, SR Shahamiri - Psychiatry Research, 2023 - Elsevier
Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …

An automatic Alzheimer's disease classifier based on spontaneous spoken English

F Bertini, D Allevi, G Lutero, L Calza… - Computer Speech & …, 2022 - Elsevier
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

A transfer learning method for detecting Alzheimer's disease based on speech and natural language processing

N Liu, K Luo, Z Yuan, Y Chen - Frontiers in Public Health, 2022 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …

Transfer learning for non-image data in clinical research: a sco** review

A Ebbehoj, MØ Thunbo, OE Andersen… - PLOS Digital …, 2022 - journals.plos.org
Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …