Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
[HTML][HTML] A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Background Psychotic disorders are characterized by structural and functional abnormalities
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …
An efficient automated detection of schizophrenia using k-NN and bag of words features
Converging shreds of evidence from several research argue that the aberrations present in
a brain's Structural Magnetic Resonance Imaging (sMRI) are the leading cause of …
a brain's Structural Magnetic Resonance Imaging (sMRI) are the leading cause of …
Effects of randomness in the development of machine learning models in neuroimaging studies of schizophrenia
Numerous studies have used machine learning with neuroimaging data for identifying
individuals with a schizophrenia diagnosis. However, inconsistent results have limited the …
individuals with a schizophrenia diagnosis. However, inconsistent results have limited the …
Drug review sentimental analysis based on modular lexicon generation and a fusion of bidirectional threshold weighted mapping CNN‐RNN
In drug review sentimental analysis (SA), users can share their experiences after consuming
the drugs, which provides an accurate decision about the safety of the drug and public …
the drugs, which provides an accurate decision about the safety of the drug and public …
Can diffusion tensor imaging have a diagnostic utility to differentiate early-onset forms of bipolar disorder and schizophrenia: A neuroimaging study with explainable …
Y Saglam, A Oz, G Yildiz, C Ermis, OA Kargin… - Psychiatry Research …, 2023 - Elsevier
Background/aim Accurate diagnosis of early-onset psychotic disorders is crucial to improve
clinical outcomes. This study aimed to differentiate patients with early-onset schizophrenia …
clinical outcomes. This study aimed to differentiate patients with early-onset schizophrenia …
[HTML][HTML] Machine Learning and Brain Imaging for Psychiatric Disorders: New Perspectives
I Brossollet, Q Gallet, P Favre, J Houenou - Machine Learning for Brain …, 2023 - Springer
Psychiatric disorders include a broad panel of heterogeneous conditions. Among the most
severe psychiatric diseases, in intensity and incidence, depression will affect 15–20% of the …
severe psychiatric diseases, in intensity and incidence, depression will affect 15–20% of the …
Symptom-circuit mappings of the schizophrenia connectome
Objective This paper aims to model the anatomical circuits underlying schizophrenia
symptoms, and to explore patterns of abnormal connectivity among brain networks affected …
symptoms, and to explore patterns of abnormal connectivity among brain networks affected …
[HTML][HTML] Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning
Introduction Recent efforts have been made to apply machine learning and deep learning
approaches to the automated classification of schizophrenia using structural magnetic …
approaches to the automated classification of schizophrenia using structural magnetic …