ADHD/ADD

Large Language Models in Mental Health Research and Treatment.

Mental health challenges add immensely to the global burden of disease, yet traditional approaches to psychological assessment and care remain resource intensive and often inaccessible. There is widespread interest in testing whether advances in artificial intelligence (AI), particularly large language models (LLMs), could address these constraints. This review focuses on LLMs, given the field's e...

Cross-species insights from ART-D to uncover evolutionarily conserved oncogenic mechanisms.

Cancer arises from oncogenic clones, yet the dynamic mechanisms driving their stepwise evolution toward malignancy remain incompletely understood. Here, we establish the Atlas of Ras-driven Tumors in Drosophila (ART-D), a systematic, cross-species platform that dissects the molecular and phenotypic trajectories of tumorigenesis across ten genetically defined RasV12-driven models. By integrating lo...

Single-cell and machine learning reveal ROS-associated heterogeneity in hepatocellular carcinoma for precision medicine.

BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progression, yet their clinical significance and cellular m...

Neural Motion Path: a Path-based Authoring System for Pre-rendered Character Animation.

Authoring high-quality character animation is essential in multimedia production, especially for pre-rendered formats such as films and TV series. The...

Coupling generative and predictive machine learning algorithms to enhance haloacetonitriles prediction in small water systems.

To overcome data scarcity constraints in modeling emerging disinfection byproducts (EDBPs) for resource-limited small water systems, this study introd...

Translating innovation into payment: A.I. reimbursement in U.S. health care.

Artificial intelligence (A.I.) technologies are increasingly deployed across clinical care, yet reimbursement remains a major barrier to sustainable a...

What do clinicians edit in ambient AI-drafted clinical documentation? A qualitative content analysis.

OBJECTIVE: Ambient artificial intelligence (AI) documentation is increasingly used to draft clinical notes from patient-provider conversations, but ho...

Classifying ADHD Presentations Using Temporally Segmented Behavioral Data from a Serious Game.

Distinguishing attention deficit/hyperactivity disorder (ADHD) presentations, such as predominantly inattentive (ADHD-I) and hyperactive/impulsive (AD...

ADHD identification from real-life recorded video.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects more than 10% of the population. Accurate and early diag...

[Artificial intelligence in medicine : Foundations, potential, structural limits and current developments].

Artificial intelligence (AI) is widely regarded as a key technology for the further development of medical care. Its performance, however, depends les...

The expected benefits of using social robots when working with institutionalised older adults: A qualitative study among healthcare professionals.

The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates hea...

RAN: A randomness-anchored watermark attacking network with stealth and effectiveness.

Research on watermark attacking is essential to reinforce robust watermarking methods by providing new attacking benchmarks. Recently, there is an eme...

Real environment obstacle circular edge expansion design robot path planning based on ant colony algorithm.

With the development of artificial intelligence, mobile robot motion control technology is facing the key problem of intelligent path planning. The co...

SelfBlending: Artificial Intelligence-driven Augmentation with Hand Interactions for Seamless Reality Blending in Virtual Environments.

Accessing real-world objects during immersive virtual reality (VR) experiences remains challenging, as current cross-reality systems often rely on pre...

Hybrid Vi+ECNN framework for advanced ADHD diagnostic accuracy in medical imaging.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Tra...

Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders.

OBJECTIVE: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. H...

Accelerated Optimization of Large Mixture-of-Experts Models by Density-Aware Multi-Stage Learning.

This article aims to speed up the training of large neural networks with the Mixture-of-Experts (MoE) structure. Training MoE often needs a lot of com...

The Genetic Origin of Uneven Cognitive Profiles in Heritable Neurodevelopmental Conditions and Individual Differences: Computational Investigations.

While the heterogeneity and co-occurrence of heritable neurodevelopmental conditions such as autism, attention deficit hyperactivity disorder (ADHD), ...

Environmental Exposures and Neuroimaging in Children with Neurodevelopmental Disorders: A Scoping Review.

PURPOSE OF REVIEW: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have...

Risk and protective factors in addictive behaviors: Integrating artificial intelligence and traditional analytical methods to assess social and psychological determinants.

PURPOSE OF REVIEW: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biolog...