Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks.

Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...

TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.

Early diagnosis of neurodevelopmental impairments in preterm infants is currently based on the visua...

Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation.

The multipoint dynamic aggregation (MPDA) problem of the multirobot system is of great significance ...

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.

Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient man...

Development of a multi-use decision support system for scientific management and breeding of sheep.

As the challenges of food insecurity and population explosion become more pressing, there is a dire ...

Gene-gene interaction detection with deep learning.

The extent to which genetic interactions affect observed phenotypes is generally unknown because cur...

A novel genetic-artificial neural network based age estimation system.

Age estimation is the ability to predict the age of an individual based on facial clues. This could ...

Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 mill...

Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum Disorder.

Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a...

Intervention with a humanoid robot avatar for individuals with social anxiety disorders comorbid with autism spectrum disorders.

For some individuals with social anxiety disorders (SAD) comorbid with autism spectrum disorders (AS...

Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep.

As the amount of data on farms grows, it is important to evaluate the potential of artificial intell...

Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network.

BACKGROUND: The demand for early and precise identification of autism spectrum disorder (ASD) presen...

Review of Fundamental Active Current Extraction Techniques for SAPF.

The field of advanced digital signal processing methods is one of the fastest developing scientific ...

A deep learning approach to real-time HIV outbreak detection using genetic data.

Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A mai...

Generation and Research of Online English Course Learning Evaluation Model Based on Genetic Algorithm Improved Neural Set Network.

The rationality and timeliness of the comprehensive results of English course learning quality are i...

Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.

With the development of modern Internet technology, the health assessment model based on computer te...

The Analysis of Environmental Cost Control of Manufacturing Enterprises Using Deep Learning Optimization Algorithm and Internet of Things.

Under the background of the Internet of things (IoT), the problems between the actual production and...

Improved Manual Annotation of EEG Signals through Convolutional Neural Network Guidance.

The development of validated algorithms for automated handling of artifacts is essential for reliabl...

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