Latest AI and machine learning research in autism for healthcare professionals.
The diagnosis of kidney disease often involves analysing urine sediment particles. Traditionally, urinalysis was performed manually by collecting urine samples and using a centrifuge, which was prone to manual errors and relied on labour-intensive processes. Automated urine sediment microscopy, based on machine learning models, requires segmentation and feature extraction, which can hinder model p...
(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring both to the individual. Assistive technologies (ATs) play an important role in this context and hold significant potential when integrated with artificial intelligence (AI). (Objective) The objective of this study is to analyze the state of integratio...
Machine learning, including deep learning, reinforcement learning, and generative artificial intelligence are revolutionising every area of our lives ...
OBJECTIVE: Despite heightened rates of aggressive behaviors among older autistic youth relative to non-autistic peers, less is known about these behav...
PURPOSE: Novel approaches are needed to ensure all patients with cancer have access to quality genetic education before genetic testing to enable info...
Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder which affects a significant proportion of the population, wi...
BACKGROUND: Artificial intelligence (AI) has been the subject of studies in autism spectrum disorder (ASD) and may affect its identification, diagnosi...
Deep learning methods have recently become the state of the art in a variety of regulatory genomic tasks, including the prediction of gene expression ...
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectr...
UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied alongside its co...
BACKGROUND: Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Current diagnosis relies on behavioural criteria, but ...
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the greatest threat to world health, with early identification b...
The growing demand among dairy producers for suitable beef sires to mate to their females creates the possibility of separate breeding programs to gen...
Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autis...
An ensemble of classifiers combines several single classifiers to deliver a final prediction or classification decision. An increasingly provoking que...
OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predict...
BACKGROUND: Patients with atrial septal defect (ASD) exhibit distinctive electrocardiogram (ECG) patterns. However, ASD cannot be diagnosed solely bas...
Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data....
Colon cancer is a significant global health problem, and early detection is critical for improving survival rates. Traditional detection methods, such...