Latest AI and machine learning research in psychiatry for healthcare professionals.
OBJECTIVE: According to the EAU Guidelines, transurethral resection of the prostate (TURP) has so far still been considered as the gold standard for surgical treatment for patients with obstructing clinical benign prostate hyperplasia (BPH). However, its relatively high rate of complications and postoperative recurrence necessitates further modification and innovation on the surgery technique. We ...
BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what extent companion-type robots can support the elderly with the fulfillment of their psychological and social needs. Although these robots have already been used in care settings in Germany, research has referred little to this practical experience in order to analyze their impact and benefit. To star...
Although regional brain deficits have been demonstrated in schizophrenia patients by structural MRI studies, one important question that remains large...
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the de...
The nature of mental illness remains a conundrum. Traditional disease categories are increasingly suspected to misrepresent the causes underlying ment...
OBJECTIVES: To assess and compare predictive factors for persistent hemodynamic depression (PHD) after carotid artery angioplasty and stenting (CAS) u...
In this study, we proposed an approach able to predict whether a pregnant woman with contractions would give birth earlier than expected (i.e., before...
OBJECTIVES: Prompted by the need to find effective ways to enhance compliance in children with autism spectrum disorder (ASD), and building on the inc...
Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the ...
Rapid progress in the area of humanoid robots offers tremendous possibilities for investigating and improving social competences in people with social...
Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive fe...
Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology. With the recent rise of using machine learning techniques to ...
OBJECTIVE: In adulthood, the diagnosis of attention-deficit/hyperactivity disorder (ADHD) has been subject of recent controversy. We searched for a ne...
In this paper, we propose an automated white matter connectivity analysis method for machine learning classification and characterization of white mat...
The article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the ...
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke...
Recent rapid technological advances have enabled robots to fulfill a variety of human-like functions, leading researchers to propose the use of such t...
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal networ...
Technology driven interventions provide us with an increasing amount of fine-grained data about the patient. This data includes regular ecological mom...