Pediatrics

ADHD/ADD

Latest AI and machine learning research in adhd/add for healthcare professionals.

6,134 articles
Stay Ahead - Weekly ADHD/ADD research updates
Subscribe
Browse Specialties
Showing 190-210 of 6,134 articles
Stingy bots can improve human welfare in experimental sharing networks.

Machines powered by artificial intelligence increasingly permeate social networks with control over ...

Using natural language processing to increase prediction and reduce subgroup differences in personnel selection decisions.

The purpose of this research is to demonstrate how using natural language processing (NLP) on narrat...

The neglected emotional drawbacks of the prioritization of embryos to transfer.

In recent years, increasing efforts have been made to develop advanced techniques that could predict...

Beyond ChatGPT: What does GPT-4 add to healthcare? The dawn of a new era.

Over the past few years, artificial intelligence (AI) has significantly improved healthcare. Once th...

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.

Dynamic PET imaging provides superior physiological information than conventional static PET imaging...

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval.

In recent years, pre-trained language models (PLMs) have dominated natural language processing (NLP)...

SWADAPT2: benefits of a collision avoidance assistance for powered wheelchair users in driving difficulty.

PURPOSE: In France, tens of thousands of people use a wheelchair. Driving powered wheelchairs (PWCs)...

The Hybrid Deep Learning Model for Identification of Attention-Deficit/Hyperactivity Disorder Using EEG.

Common misbehavior among children that prevents them from paying attention to tasks and interacting ...

A robot intervention for adults with ADHD and insomnia-A mixed-method proof-of-concept study.

OBJECTIVE: To investigate individual effects of a three-week sleep robot intervention in adults with...

Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning.

"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children unde...

Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking.

Despite the fact that traditional deep learning (DL) approaches provide promising accuracy and effic...

Spiking neural P systems with lateral inhibition.

As a member of the third generation of artificial neural network models, spiking neural P systems (S...

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups.

UNLABELLED: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disord...

Respiratory signal estimation for cardiac perfusion SPECT using deep learning.

BACKGROUND: Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Co...

Rapid eye movement sleep loss associated cytomorphometric changes and neurodegeneration.

Rapid eye movement sleep (REMS) is essential for leading normal healthy living at least in higher-or...

Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability.

Advances in ability to comprehensively record individuals' digital lives and in AI modeling of those...

Virtual agents and risk-taking behavior in adolescence: the twofold nature of nudging.

Peer pressure can influence risk-taking behavior and it is particularly felt during adolescence. Wit...

Stenosis Detection and Quantification of Coronary Artery Using Machine Learning and Deep Learning.

The aim of this review is to introduce some applications of artificial intelligence (AI) algorithms ...

Browse Specialties