Latest AI and machine learning research in psychiatry for healthcare professionals.
OBJECTIVE: Given the importance of emotions in psychotherapy, valid measures are essential for resea...
Patients with hematological malignancy experience physical and psychological pain, such as a sense o...
This pilot study explored whether a socially assistive robot (SAR) would have positive effects on Ko...
Children with autism spectrum disorder (ASD) have deficits that affect their social relationships, c...
Although 20 % of patients with depression receiving treatment do not achieve remission, predicting t...
Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and results in severe d...
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are cond...
Adapting to robotic-assisted (RA) total knee arthroplasty (TKA) is hindered by the surgeon's fear of...
Drug discovery relies on the precise prognosis of drug-target interactions (DTI). Due to their abili...
BACKGROUND: Machine learning (ML) has been widely used to predict suicidal ideation (SI) in adolesce...
Sex plays a crucial role in human brain development, aging, and the manifestation of psychiatric and...
In recent years, social assistive robots have gained significant acceptance in healthcare settings, ...
In this study, we have developed a novel method based on deep learning and brain effective connectiv...
Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis ...
As population density increases, environmental hygiene and public health become increasingly severe....
Major Depression Disorder (MDD) is a common yet destructive mental disorder that affects millions of...
BACKGROUND: This study addresses the suicide risk predicting challenge by exploring the predictive a...
Artificial intelligence (AI) is being tested and deployed in major hospitals to monitor patients, le...
While one can characterize mental health using questionnaires, such tools do not provide direct insi...
Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative fo...
Mental representations of familiar categories are composed of visual and semantic information. Disen...