Updates in Alzheimer's disease: from basic research to diagnosis and therapies

E Liu, Y Zhang, JZ Wang - Translational Neurodegeneration, 2024 - Springer
Alzheimer's disease (AD) is the most common neurodegenerative disorder, characterized
pathologically by extracellular deposition of β-amyloid (Aβ) into senile plaques and …

Applied artificial intelligence in healthcare: a review of computer vision technology application in hospital settings

H Lindroth, K Nalaie, R Raghu, IN Ayala, C Busch… - Journal of …, 2024 - mdpi.com
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …

[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

G Amprimo, G Masi, G Pettiti, G Olmo, L Priano… - … Signal Processing and …, 2024 - Elsevier
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

A comprehensive analysis of blockchain applications for securing computer vision systems

M Ramalingam, GC Selvi, N Victor, R Chengoden… - IEEE …, 2023 - ieeexplore.ieee.org
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. BC can offer decentralized and secure data storage, while CV …

Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a sco** review

G Huang, R Li, Q Bai, J Alty - Health Information Science and Systems, 2023 - Springer
With ageing populations around the world, there is a rapid rise in the number of people with
Alzheimer's disease (AD) and Parkinson's disease (PD), the two most common types of …

[HTML][HTML] Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities

M Javaid, A Haleem, RP Singh, M Ahmed - Intelligent Pharmacy, 2024 - Elsevier
Abstract The emergence of Artificial Intelligence (AI) has already brought several
advantages to the healthcare sector. Computer Vision (CV) is one of the growing modern AI …

[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives

G Amprimo, G Masi, G Olmo, C Ferraris - Artificial Intelligence in Medicine, 2024 - Elsevier
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …

Automatic detection pipeline for accessing the motor severity of Parkinson's disease in finger tap** and postural stability

N Yang, DF Liu, T Liu, T Han, P Zhang, X Xu… - IEEE …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a nervous disorder that can cause motor impairment. PD
severity assessment based on a series of motor movements illustrated in Unified Parkinson's …

Artificial intelligence to enhance prehospital stroke diagnosis and triage: a perspective

ZC Wolcott, SW English - Frontiers in neurology, 2024 - frontiersin.org
As health systems organize to deliver the highest quality stroke care to their patients, there is
increasing emphasis being placed on prehospital stroke recognition, accurate diagnosis …

A comprehensive analysis of blockchain applications for securing computer vision systems

C Selvi, N Victor, R Chengoden, S Bhattacharya… - arxiv preprint arxiv …, 2023 - arxiv.org
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. The ability of BC can help in offering decentralized and secure …