Latest AI and machine learning research in psychiatry for healthcare professionals.
Given the psychosocial and ethical burden, patients with hypertrophic cardiomyopathy (HCMs) could benefit from the establishment of genetic probability prior to the test. This study aimed to develop a simple tool to provide genotype prediction for HCMs. A convolutional neural network (CNN) was built with the 12-lead electrocardiogram (ECG) of 124 HCMs who underwent genetic testing (GT), externall...
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2...
Against the global need for increased access to mental services, health organisations are looking to technological advances to improve the delivery of...
The American Journal of Occupational Therapy (AJOT) has maintained its top-ranking status in the field of occupational therapy, as evidenced by an inc...
Autism Spectrum Disorder (ASD) is a highly heterogeneous condition, due to high variance in its etiology, comorbidity, pathogenesis, severity, genetic...
When it comes to health, a very widespread problem nowadays is mental health, where almost 18% of the world's population suffers from certain mental i...
BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from depression worldwide. At present, the main way to qua...
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific study for disorder detection and prediction. However,...
Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always col...
Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in patients with an extended course of coronavirus disea...
Sleep plays an important role in neonatal brain and physical development, making its detection and characterization important for assessing early-stag...
Providing mental health support and interventions through artificial intelligence can open up more significant space for young people to get good serv...
During future interplanetary space missions, a number of health conditions may arise, owing to the hostile environment of space and the myriad of stre...
Social interaction quality ratings derived from short natural conversations can differentiate children with and without autism at the group level. In ...
OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological condition of the central nervous system leading to various physical, mental and psychiatr...
Understanding the structural and functional mechanisms of the brain is challenging for mood and mental disorders. Many neuroimaging techniques are wid...
Identifying subtypes of neuropsychiatric disorders based on characteristics of their brain activity has tremendous potential to contribute to a better...
The integration of Electronic Health Records (EHRs) with Machine Learning (ML) models has become imperative in examining patient outcomes due to the v...