Latest AI and machine learning research in psychiatry for healthcare professionals.
The aim of this study was to gain insight into how robots can be practically implemented into curren...
The World Wide Web, and online social networks in particular, have increased connectivity between pe...
The need to integrate aspects of functional, psychosocial and cosmetic impairment into medical care ...
There is growing awareness that user-generated social media content contains valuable health-related...
The majority of children with autism face difficulties in social interaction and communication skill...
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...
IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriou...
The diirectins and ways of ostcgiogtsuikigucak health resources of pilot in order to ensure his prof...
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numero...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim t...
Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from se...
This study objectives to investigate a range of Partin table and several machine learning methods fo...
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We develop...
We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educ...
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed metho...
At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional as...
OBJECTIVE: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopam...