Latest AI and machine learning research in autism for healthcare professionals.
Aerobic composting stands as a widely-adopted method for treating organic solid waste (OSW), simulta...
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are cond...
The purpose of this study was to demonstrate the performance of a fully automated, deep learning-bas...
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental disorders w...
BACKGROUND CONTEXT: Among adult spinal deformity (ASD) patients, heterogeneity in patient pathology,...
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemod...
Brain-imaging-genetic analysis is an emerging field of research that aims at aggregating data from n...
Early intervention in tumors can greatly improve human survival rates. With the development of deep ...
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a po...
With recent advances in precision medicine and healthcare computing, there is an enormous demand for...
Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit...
Cardiovascular diseases (CVD) represent a significant global health challenge, often remaining undet...
Identification of isocitrate dehydrogenase (IDH)-mutant glioma patients at high risk of early progre...
BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diag...
The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cann...
Autism Spectrum Disorder (ASD) is a heterogeneous disorder in children, and the current clinical dia...
Evidence-based robotic intervention programmes for children with autism spectrum disorder (ASD) have...
AIM: Deep learning (DL) algorithms can be used for automated analysis of medical imaging. The aim of...
Personalized medicine in cancer treatment aims to treat each individual's cancer tumor uniquely base...
RATIONALE AND OBJECTIVES: This study employed tract-based spatial statistics (TBSS) to investigate a...
The present exploratory cross-sectional case-control study sought to develop a reliable and scalable...