Latest AI and machine learning research in depression for healthcare professionals.
Artificial intelligence methods are widely applied to depression recognition and provide an objective solution. Many effective automated methods for detecting depression use facial expressions, which are strong indicators to reflect psychiatric disorders. However, these methods suffer from insufficient representations of depression. To this end, we propose a novel Part-and-Relation Attention Netwo...
OBJECTIVE: Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurological impairments. The purpose of this study is to investigate the effects of rehabilitation with robotic devices on quality of life and depression.
BACKGROUND: Anxiety and depression are the most common mental disorders worldwide. Owing to the lack of psychiatrists around the world, the incorporat...
Audio features are physical features that reflect single or complex coordinated movements in the vocal organs. Hence, in speech-based automatic depres...
(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, th...
In today's world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread....
Dry days at varied scale are an important topic in climate discussions. Prolonged dry days define a dry period. Dry days with a specific rainfall thre...
Comparing a family structure to a company, one can often think of parents as leaders and adolescents as employees. Stressful family environments and a...
Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (SAHR), called Hyodol, on depressive symptoms and he...
Neuromorphic engineering and artificial intelligence demands hardware elements that emulates synapse algorithms. During the last decade electrolyte-ga...
BACKGROUND: In recent years, more and more people suffer from depression and anxiety. These symptoms are hard to be spotted and can be very dangerous....
Stress, depression, and anxiety are a person's physiological states that emerge from various body features such as speech, body language, eye contact,...
Individuals who suffer from suicidal ideation frequently express their views and ideas on social media. Thus, several studies found that people who ar...
BACKGROUND: Depression (Major Depressive Disorder) is one of the most common mental illnesses. According to the World Health Organization, more than 3...
Researchers in the past discussed the psychological issue like stress, anxiety, depression, phobias on various forms, and cognitive issues (e.g., posi...
BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and biographic factors have been used to predict depre...
In recent years, there has been a lot of news about college students committing suicide. In the university stage students, self-esteem is stronger and...
Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-g...
BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field ...
This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based on faster region-based convolutional networks (Fa...