Artificial intelligence (AI) offers new perspectives in the healthcare sector, ranging from clinical decision support tools to new treatment strategies or alternative patient remote monitoring. However, as a disruptive technology, AI is associated wi...
The robot assisted rehabilitation constitutes a recent therapeutic opportunity for the motor disorders in children with neurological disabilities. Robot-based devices are useful to promote improvements in sensorimotor and cognitive process. Robot-ass...
Nowadays, artificial intelligence can be found in all areas of human life. It is strongly present also in the medical-health sector where, given the considerable opportunities it offers, some risks cannot be underestimated. For this reason, it is nec...
BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from depression worldwide. At present, the main way to quantify the severity of depression is through psychometric scales, which entail subjectivity on the pa...
BACKGROUND: The peripheral inflammatory markers are important in the pathophysiology of suicidal behavior. However, methods for practical uses haven't been developed enough yet. This study developed predictive models based on explainable artificial i...
In this study, I introduce the use of Bayesian Artificial Intelligence, namely through the probabilistic and structure learning of Bayesian Network models, for hypothesis generation in psychiatry. Bayesian Networks are directed acyclic graphical mode...
In the last years, traditional treatments have been combined with innovative therapies, such as robot-assisted training, an interesting new rehabilitation tool for children with neurologic impairment. The robots deliver a high dose of training and in...
Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, due to system complexity, the variability of their architecture, as well as ethical and regulatory concerns there is an ongoing need to analyze its appl...
OBJECTIVES: The key characteristics of this study are to highlight the research trend pertaining to the use of machine learning in the diagnosis and management of neuropsychiatric conditions.