AIMC Topic: Schizophrenia
Clear Filters Showing 91 to 100 of 285 articles
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal.
Computers in biology and medicine
Apr 28, 2022
Detection of mental disorders such as schizophrenia (SZ) through investigating brain activities recorded via Electroencephalogram (EEG) signals is a promising field in neuroscience. This study presents a hybrid brain effective connectivity and deep l...
Effectiveness and safety of blonanserin for improving social and cognitive functions in patients with first-episode schizophrenia: a study protocol for a prospective, multicentre, single-arm clinical trial.
BMJ open
Apr 20, 2022
INTRODUCTION: Both the pharmacological characteristics of blonanserin and its related small sample size studies suggest that blonanserin could alleviate social and cognitive dysfunctions in patients with schizophrenia. However, no large sample size s...
Assessing Schizophrenia Patients Through Linguistic and Acoustic Features Using Deep Learning Techniques.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 18, 2022
Thought, language, and communication disorders are among the salient characteristics of schizophrenia. Such impairments are often exhibited in patients' conversations. Researches have shown that assessments of thought disorder are crucial for trackin...
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.
Medical image analysis
Mar 2, 2022
Functional magnetic resonance imaging (fMRI) as a promising tool to investigate psychotic disorders can be decomposed into useful imaging features such as time courses (TCs) of independent components (ICs) and functional network connectivity (FNC) ca...
Machine learning classification of schizophrenia patients and healthy controls using diverse neuroanatomical markers and Ensemble methods.
Scientific reports
Feb 17, 2022
Schizophrenia is a major psychiatric disorder that imposes enormous clinical burden on patients and their caregivers. Determining classification biomarkers can complement clinical measures and improve understanding of the neural basis underlying schi...
Deep learning model using retinal vascular images for classifying schizophrenia.
Schizophrenia research
Feb 14, 2022
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the patient during a clinical interview by a psychiatrist. Given the significant variability in personal reporting and differences in the skill set of psychiatrists, ...
Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation.
PloS one
Jan 24, 2022
High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at cellular resolution. These spatial profiles are key to understanding brain organization at the molecular level. Previously, manual qualitative scoring ...
Evaluation of the correlation between gaze avoidance and schizophrenia psychopathology with deep learning-based emotional recognition.
Asian journal of psychiatry
Dec 28, 2021
OBJECTIVE: To investigate the correlation between gaze avoidance and psychopathology in patients with schizophrenia through eye movement measurements in real-life interpersonal situations.
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals.
Physical and engineering sciences in medicine
Nov 25, 2021
This study presents a method with high accuracy performance that aims to automatically detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature studies using traditional machine learning algorithms, the features ...
Plasma neurofilament light chain protein is not increased in treatment-resistant schizophrenia and first-degree relatives.
The Australian and New Zealand journal of psychiatry
Nov 17, 2021
OBJECTIVE: Schizophrenia, a complex psychiatric disorder, is often associated with cognitive, neurological and neuroimaging abnormalities. The processes underlying these abnormalities, and whether a subset of people with schizophrenia have a neuropro...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31137
- Neural Networks, Computer 29769
- Algorithms 26908
- Deep Learning 26418
- Artificial Intelligence 24354
- Robotics 13322
- Image Processing, Computer-Assisted 9552
- Retrospective Studies 9136
- Magnetic Resonance Imaging 6198
- Reproducibility of Results 5602
- Tomography, X-Ray Computed 4778
- Support Vector Machine 4695
- Computational Biology 4246
- Brain 4056
- Computer Simulation 3887
Recent Journals
- Scientific reports 6082
- Sensors (Basel, Switzerland) 4794
- PloS one 4044
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1137
- Journal of chemical information and modeling 1006
- Nature communications 959
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 829