The diagnosis of ASD with MRI: a systematic review and meta-analysis
While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the
current diagnostic practice involves observation-based criteria. This study is a systematic …
current diagnostic practice involves observation-based criteria. This study is a systematic …
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
Spatial–temporal co-attention learning for diagnosis of mental disorders from resting-state fMRI data
Neuroimaging techniques have been widely adopted to detect the neurological brain
structures and functions of the nervous system. As an effective noninvasive neuroimaging …
structures and functions of the nervous system. As an effective noninvasive neuroimaging …
Map** multi-modal brain connectome for brain disorder diagnosis via cross-modal mutual learning
Recently, the study of multi-modal brain connectome has recorded a tremendous increase
and facilitated the diagnosis of brain disorders. In this paradigm, functional and structural …
and facilitated the diagnosis of brain disorders. In this paradigm, functional and structural …
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
Deep learning has revolutionized biomedical research by providing sophisticated methods
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
L Tortora - Frontiers in Psychiatry, 2024 - frontiersin.org
The advent and growing popularity of generative artificial intelligence (GenAI) holds the
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …
[HTML][HTML] A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …
transformations to the existing data. Recent developments in deep learning have advanced …
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI
Facing the increasing worldwide prevalence of mental disorders, the symptom-based
diagnostic criteria struggle to address the urgent public health concern due to the global …
diagnostic criteria struggle to address the urgent public health concern due to the global …
An explainable deep learning-based method for schizophrenia diagnosis using generative data-augmentation
Schizophrenia is an example of a rare mental disorder that is challenging to diagnose using
conventional methods. Deep learning methods have been extensively employed to aid in …
conventional methods. Deep learning methods have been extensively employed to aid in …
Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human
brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown …
brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown …