Latest AI and machine learning research in adhd/add for healthcare professionals.
Contrastive learning-based deep multi-view clustering methods have become a mainstream solution for ...
In recent years, an increasing number of medical engineering tasks, such as surgical navigation, pre...
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is char...
This study evaluated the effect of delay and magnitude of reinforcement in Pavlovian contingencies, ...
Hepatitis C, a particularly dangerous form of viral hepatitis caused by hepatitis C virus (HCV) infe...
Expression is the main method for judging the emotional state and psychological condition of the hum...
Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patie...
People use the World Wide Web heavily to share their experiences with entities such as products, ser...
BACKGROUND: The aim of this study was to investigate the diagnostic value of ML techniques based on ...
Face Anti-Spoofing (FAS) seeks to protect face recognition systems from spoofing attacks, which is a...
Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significant...
. During deep-learning-aided (DL-aided) ultrasound (US) diagnosis, US image classification is a foun...
BACKGROUND: Osteoporosis is a bone disease related to increased bone loss and fracture-risk. The var...
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are cond...
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental disorders w...
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a po...
Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit...
In the process of rehabilitation treatment for stroke patients, rehabilitation evaluation is a signi...
The use of bacteriocins has emerged as a propitious strategy in the development of new drugs to comb...
Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular imagin...
This paper proposes an improved version of physics-informed neural networks (PINNs), the physics-inf...