Latest AI and machine learning research in psychiatry for healthcare professionals.
Machine learning technique has long been utilized to assist disease diagnosis, increasing clinical physicians' confidence in their decision and expediting the process of diagnosis. In this case, machine learning technique serves as a tool for distinguishing patients from healthy people. Additionally, it can also serve as an exploratory method to reveal intrinsic characteristics of a disease based ...
OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for scree...
The modes of action (MoAs) of drugs frequently are unknown, because many are small molecules initially identified from phenotypic screens, giving rise...
BACKGROUND: Schizophrenia can be interpreted as a pathology involving the neocortex whose cognitive dysfunctions represent a central and persistent ch...
Psychotherapy endows a sense of control in patients gripped with emotional conflicts which allow them to handle their reflexes and regain composure th...
A key government priority, artificial intelligence (IA) in healthcare is a real opportunity for nursing professionals. Faced with the daily difficulti...
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information about dynamic factors that change rapidly in the d...
Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental health issues. Adolescents are a particularly vuln...
For patients with a diagnosis of schizophrenia, determining symptom onset is crucial for timely and successful intervention. In mental health records,...
Social and behavioral factors influence health but are infrequently recorded in electronic health records (EHRs). Here, we demonstrate that psychosoci...
The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating th...
The current study focuses on the short-term effect of MARIO, a social robot, on quality of life, depression, and perceived social support in persons w...
Natural language processing (NLP) is a technology in which a computer processes human "natural language" directly. Along with the development of techn...
Individuals with autism spectrum disorders (ASD) can face lifelong challenges. There are a variety of therapeutic and educational approaches, any of w...
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD...
Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, fo...
A less-invasive method for the diagnosis of the major depressive disorder can be useful for both the psychiatrists and the patients. We propose a mach...
This paper presents the design of a machine learning-based classifier for the differentiation between Schizophrenia patients and healthy controls usin...