Latest AI and machine learning research in psychiatry for healthcare professionals.
We construct embedded functional connectivity networks (FCN) from benchmark resting-state functional...
BACKGROUND: Machine learning applications in health care have increased considerably in the recent p...
A reliable diagnosis of adult Attention Deficit/Hyperactivity Disorder (ADHD) is challenging as many...
The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of perso...
It is unclear whether postural sway characteristics could be used as diagnostic biomarkers for autis...
OBJECTIVE: In comparison with laparoscopic transperitoneal para-aortic lymphadenectomy, the advantag...
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet f...
With the advancement of brain imaging techniques and a variety of machine learning methods, signific...
The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedici...
In a narrow pelvic cavity, performing sufficient tumor-specific mesorectal excision (TSME) is diffic...
For many mental disorders, latent mental status from multiple-domain psychological or clinical sympt...
Internet gaming disorder (IGD), a worldwide mental health issue, has been widely studied using neuro...
BACKGROUND: The COVID-19 pandemic is impacting mental health, but it is not clear how people with di...
BACKGROUND: Mood disorders (major depressive disorder, MDD, and bipolar disorder, BD) are considered...
The gut-brain axis (GBA) is a biochemical link that connects the central nervous system (CNS) and en...
To develop a new functional magnetic resonance image (fMRI) network inference method, BrainNET, tha...
Detection of suicide risk is a highly prioritized, yet complicated task. Five decades of research ha...
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced inc...
Converging evidence increasingly implicates shared etiologic and pathophysiological characteristics ...
Depression is a widespread disease with a high economic burden and a complex pathophysiology disease...
Currently, we are witnessing an increasing interest in predictive models and personalized diagnosis ...