Latest AI and machine learning research in psychiatry for healthcare professionals.
Suicidal thoughts and behaviours are prevalent among college students. Yet little is known about scr...
Children with autism spectrum disorder have impairments in emotional processing which leads to the i...
Depression is a multifaceted illness with large interindividual variability in clinical response to ...
BACKGROUND: Psychosocial issues, such as social isolation and loneliness among older adults and peop...
Despite years of research, the mechanisms governing the onset, relapse, symptomatology, and treatmen...
Robot therapy presents a promising alternative in dementia care. However, its effectiveness has not ...
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition...
Chronic diseases are gradually becoming the main threat to human health. By designing an efficient h...
The mental stress faced by many people in modern society is a factor that causes various chronic dis...
Pivotal response treatment (PRT) is a promising intervention focused on improving social communicati...
Electroencephalogram (EEG)-based automated depression diagnosis systems have been suggested for earl...
Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provid...
BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form ...
BACKGROUND: Adrenal insufficiency (AI) may cause psychiatric symptoms. We evaluated the correlation ...
Socially assistive robots (SAR) have the potential to impact therapies for Autism Spectrum Disorder ...
Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some...
Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed a...
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Be...
OBJECTIVE: We aimed to develop and test an algorithm for individual patient predictions of problem c...
RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availabili...
Clinical visit data are clustered within people, which complicates prediction modeling. Cluster size...