Latest AI and machine learning research in adhd/add for healthcare professionals.
Cyber-physical systems such as satellite telecommunications networks generate vast amounts of data a...
Electronic health records contain patient's information that can be used for health analytics tasks ...
Magnetic resonance fingerprinting (MRF) is a quantitative MRI (qMRI) framework that provides simulta...
Chronic diseases are gradually becoming the main threat to human health. By designing an efficient h...
Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provid...
BACKGROUND: Environmental surface decontamination is a crucial tool to prevent the spread of infecti...
The docking program PLANTS, which is based on ant colony optimization (ACO) algorithm, has many adva...
Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some...
We developed a method to apply artificial neural networks (ANNs) for predicting time-series pharmaco...
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Be...
In post-operative radiotherapy for prostate cancer, precisely contouring the clinical target volume ...
BACKGROUND: Tongue diagnosis is an important research field of TCM diagnostic technology modernizati...
Healthy aging is the prime goal of aging research and interventions. Healthy aging or not can be qua...
In humans, impaired response inhibition is characteristic of a wide range of psychiatric diseases an...
The tiny encryption algorithm (TEA) is widely used when performing dissipative particle dynamics (DP...
causes the fatal fungal bloodstream infection in humans called Candidiasis. Most of the species ar...
Accurate prediction of binding affinity between protein and ligand is a very important step in the f...
Emerging manifestations of artificial intelligence (AI) have featured prominently in virtually all i...
OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our obje...
Slender objects are long and thin objects. Existing object detection networks are not specially desi...
This paper presents a neural system to deal with multi-label classification problems that might invo...