AIMC Topic: Mental Disorders
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Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI.
IEEE transactions on neural networks and learning systems
Jun 3, 2024
The globally rising prevalence of mental disorders leads to shortfalls in timely diagnosis and therapy to reduce patients' suffering. Facing such an urgent public health problem, professional efforts based on symptom criteria are seriously overstretc...
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.
Biological psychiatry
May 6, 2024
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in neuropsychiatric and neurodegenerative disorders. Therefore, it has contributed to a better un...
ChatGPT: A new horizon at the intersect of human and artificial intelligence in academic psychiatry.
Bipolar disorders
Apr 19, 2024
A multi-featured expression recognition model incorporating attention mechanism and object detection structure for psychological problem diagnosis.
Physiology & behavior
Apr 18, 2024
Expression is the main method for judging the emotional state and psychological condition of the human body, and the prediction of changes in facial expressions can effectively determine the mental health of a person, thus avoiding serious psychologi...
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.
NeuroImage
Apr 1, 2024
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms...
An adaptive data-driven architecture for mental health care applications.
PeerJ
Mar 29, 2024
BACKGROUND: In the current era of rapid technological innovation, our lives are becoming more closely intertwined with digital systems. Consequently, every human action generates a valuable repository of digital data. In this context, data-driven arc...
Predicting treatment outcome based on resting-state functional connectivity in internalizing mental disorders: A systematic review and meta-analysis.
Neuroscience and biobehavioral reviews
Mar 26, 2024
Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs-FC) and machine learning have often shown promising pre...
Artificial intelligence GPT-4: A game changer in the advancement of psychiatric rehabilitation in the new millennium.
Asian journal of psychiatry
Feb 21, 2024
Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review.
Reviews in the neurosciences
Feb 5, 2024
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a popular research topic for the diagnostic classification of clinical disorders due to the lack of robust and objective biomarkers. This review provides ...
A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders.
Journal of affective disorders
Jan 19, 2024
BACKGROUND: Increasing an individual's ability to focus on concrete, specific detail, thus reducing the tendency toward overly broad, decontextualised generalisations about the self and world, is a target within cognitive behavioural therapy (CBT). H...
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