Latest AI and machine learning research in autism for healthcare professionals.
We identified 1.844 million barley pan-genome sequence anchors from 12,306 genotypes using genetic m...
Autism is a developmental condition currently identified by experts using observation, interview, an...
Deep neural networks have recently been applied to the study of brain disorders such as autism spect...
OBJECTIVE: Patients with ASD show complex and highly variable disease. The decision to manage patien...
The aim of this study is to present a robot-assisted therapy protocol for children with ASD based on...
BACKGROUND: Sickle cell disease (SCD) is a genetic disorder of the red blood cells, resulting in mul...
Social determining factors such as the adverse influence of globalization, supermarket growth, fast ...
Neuroimaging-based approaches have been extensively applied to study mental illness in recent years ...
Convolutional neural networks (CNNs) have gained remarkable success on many image classification tas...
Deep learning models for MRI classification face two recurring problems: they are typically limited ...
Gene expression analysis plays a significant role for providing molecular insights in cancer. Variou...
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medic...
OBJECTIVES: This study aims to detect frontal pelvic radiograph femoral neck fracture using deep lea...
, which is one of the largest genera of Gentianoideae, most of which had potential pharmaceutical va...
Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time an...
Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which is particu...
BACKGROUND: Those with autism spectrum disorder (ASD) and/or attention-deficit-hyperactivity disorde...
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelop...
Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases ar...
Artificial neural network is an efficient and accurate fitting method. It has the function of self-l...
In this study, a new method of smooth path planning is proposed based on Bezier curves and is applie...