The functional aspects of resting EEG microstates: a systematic review
A growing body of clinical and cognitive neuroscience studies have adapted a broadband
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …
Artificial intelligence and Psychiatry: An overview
A Ray, A Bhardwaj, YK Malik, S Singh… - Asian Journal of …, 2022 - Elsevier
The burden of mental illness both in world and India is increasing at an alarming rate.
Adding to it, there has been an increase in mental health challenges during covid-19 …
Adding to it, there has been an increase in mental health challenges during covid-19 …
[HTML][HTML] Accuracy of EEG biomarkers in the detection of clinical outcome in disorders of consciousness after severe acquired brain injury: preliminary results of a pilot …
Accurate outcome detection in neuro-rehabilitative settings is crucial for appropriate long-
term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG …
term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG …
Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidences have highlighted the implementation of big data handling and
management in healthcare industry to improve the clinical services. Various private and …
management in healthcare industry to improve the clinical services. Various private and …
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 …
[HTML][HTML] Future medical artificial intelligence application requirements and expectations of physicians in German university hospitals: web-based survey
O Maassen, S Fritsch, J Palm, S Deffge, J Kunze… - Journal of medical …, 2021 - jmir.org
Background The increasing development of artificial intelligence (AI) systems in medicine
driven by researchers and entrepreneurs goes along with enormous expectations for …
driven by researchers and entrepreneurs goes along with enormous expectations for …
[HTML][HTML] EEG microstate features for schizophrenia classification
Electroencephalography (EEG) microstate analysis is a method wherein spontaneous EEG
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …
[HTML][HTML] 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 …
Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts
Objective To evaluate the diagnostic performance of artificial intelligence (AI)–based
algorithms for identifying the presence of interictal epileptiform discharges (IEDs) in routine …
algorithms for identifying the presence of interictal epileptiform discharges (IEDs) in routine …
[HTML][HTML] EEG microstate features according to performance on a mental arithmetic task
In this study, we hypothesized that task performance could be evaluated applying EEG
microstate to mental arithmetic task. This pilot study also aimed at evaluating the efficacy of …
microstate to mental arithmetic task. This pilot study also aimed at evaluating the efficacy of …