[HTML][HTML] Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Deep learning for Alzheimer's disease diagnosis: A survey

M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

[HTML][HTML] Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans

S Sharma, G Singh, M Sharma - Computers in Biology and Medicine, 2021 - Elsevier
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

[HTML][HTML] Role of kynurenine pathway in oxidative stress during neurodegenerative disorders

A Mor, A Tankiewicz-Kwedlo, A Krupa, D Pawlak - Cells, 2021 - mdpi.com
Neurodegenerative disorders are chronic and life-threatening conditions negatively affecting
the quality of patients' lives. They often have a genetic background, but oxidative stress and …

[HTML][HTML] A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

[HTML][HTML] Suicide risk assessment using machine learning and social networks: a scoping review

G Castillo-Sánchez, G Marques, E Dorronzoro… - Journal of medical …, 2020 - Springer
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …

A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease

S Saravanan, K Ramkumar, K Adalarasu… - … methods in engineering, 2022 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …

Deeponet-grid-uq: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories

C Moya, S Zhang, G Lin, M Yue - Neurocomputing, 2023 - Elsevier
This paper proposes a novel data-driven method for the reliable prediction of the power
grid's post-fault trajectories, ie, the power grid's dynamic response after a disturbance or …

[HTML][HTML] Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews

A Martinez-Millana, A Saez-Saez… - International Journal of …, 2022 - Elsevier
Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …