Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …
problems for people with a detrimental effect on the functioning of the nervous system. In …
Artificial intelligence as an emerging technology in the current care of neurological disorders
Background Artificial intelligence (AI) has influenced all aspects of human life and neurology
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …
A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
[HTML][HTML] Impact of big data analytics on people's health: Overview of systematic reviews and recommendations for future studies
IJ Borges do Nascimento, MS Marcolino… - Journal of medical …, 2021 - jmir.org
Background Although the potential of big data analytics for health care is well recognized,
evidence is lacking on its effects on public health. Objective The aim of this study was to …
evidence is lacking on its effects on public health. Objective The aim of this study was to …
An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …
Diverse applications of artificial intelligence in neuroradiology
MT Duong, AM Rauschecker… - Neuroimaging …, 2020 - neuroimaging.theclinics.com
Globally, neurologic and mental disorders affect 1 in 3 people across their lifetime. 1
Uniquely positioned to improve imaging diagnosis and clinical management for patients with …
Uniquely positioned to improve imaging diagnosis and clinical management for patients with …
Multiple sclerosis and computational biology
IO Diakou, E Papakonstantinou… - Biomedical …, 2022 - spandidos-publications.com
Multiple sclerosis (MS) is an autoimmune neurodegenerative disease whose prevalence
has increased worldwide. The resultant symptoms may be debilitating and can substantially …
has increased worldwide. The resultant symptoms may be debilitating and can substantially …
Жизненный цикл систем поддержки принятия врачебных решений как медицинских технологий
ОЮ Реброва - Врач и информационные технологии, 2020 - cyberleninka.ru
Системы поддержки принятия врачебных решений (СППВР) можно классифицировать
на информационно-справочные и интеллектуальные, а последние, в свою очередь, на …
на информационно-справочные и интеллектуальные, а последние, в свою очередь, на …
Applications of artificial intelligence to neurological disorders: current technologies and open problems
Neurological disorders are caused by structural, biochemical, and electrical abnormalities
involving the central and peripheral nervous system. These disorders may be congenital …
involving the central and peripheral nervous system. These disorders may be congenital …