Latest AI and machine learning research in psychiatry for healthcare professionals.
Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. This study employs an unique approach of solely utilizing the respiration signals in order to decipher mental states. A public dataset, Affective Pacman, is considered for this study, where the various physiologic...
Knowledge of the level of mental workload induced by any task is essential for optimizing load share among the operators. This helps in assessing their capability; besides, helping in task allocation. Since a persistently high workload experienced by operators such as aircraft pilots and automobile drivers many times compromises their performance and safety. Despite the availability of various men...
Understanding the effects of psychiatric medications during mental health treatment constitutes an active area of inquiry. While clinical trials help ...
OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can dete...
What is a fundamental ability for cognitive development? Although many researchers have been addressing this question, no shared understanding has bee...
Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined...
We investigated the feasibility of our novel evaluation system for use with children with autism spectrum disorders (ASD). We prepared the experimenta...
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technologic...
The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones, fitness trackers, or smartwatches, has opened a ...
OBJECTIVE: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressi...
Hardware artificial neural network (ANN) systems with high density synapse array devices can perform massive parallel computing for pattern recognitio...
INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model buildi...
BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/patte...
The aim of this research was to study roles, strengths and challenges of robot-mediated interventions using robot KASPAR for children with autism spec...
Diagnosis of psychiatric disorders is based primarily on subjective symptoms, and neuroimaging or other biological examinations are used for excluding...
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown...
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not comple...
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. Howe...
Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by providing the patient of psychiatric disorders with ...