Pediatrics

ADHD/ADD

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

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Artificial Intelligence-Guided Cancer Engineering for Tumor Normalization Executed by Tumor Lysosomal-Triggered Supramolecular Chiral Peptide.

Cancer engineering for tumor normalization offers a promising therapeutic strategy to reverse malign...

Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy.

Light-field microscopy (LFM) and its variants have significantly advanced intravital high-speed 3D i...

Novel neural activity profiles underlying inhibitory control deficits of clinical relevance in ADHD - insights from EEG tensor decomposition.

BACKGROUND: Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental dis...

Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.

Cervical cancer is a malignant tumor that endangers women's life and health. While deep learning has...

AI-Enhanced Speech Recognition in Triage.

Triage is used in emergency departments to ensure timely patient care according to urgency of treatm...

Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.

BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinica...

A change language for ontologies and knowledge graphs.

Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain,...

UniProt: the Universal Protein Knowledgebase in 2025.

The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with ...

Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses.

Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, bu...

Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea.

The Consumer Price Index (CPI) is a key economic indicator used by policymakers worldwide to monitor...

Advancements in Cardiac CT Imaging: The Era of Artificial Intelligence.

In the last decade, artificial intelligence (AI) has influenced the field of cardiac computed tomogr...

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can ove...

Biomedical knowledge graph-optimized prompt generation for large language models.

MOTIVATION: Large language models (LLMs) are being adopted at an unprecedented rate, yet still face ...

Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children.

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the developme...

Deep Generative Replay-based Class-incremental Continual Learning in sEMG-based Pattern Recognition.

Developments in neural networks and sensing technologies have increased focus on modules for surface...

Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.

Machine learning (ML)-based risk prediction models hold the potential to support the health-care set...

Classification of DNA Sequence Based on a Non-gradient Algorithm: Pseudoinverse Learners.

This chapter proposes a prototype-based classification approach for analyzing DNA barcodes that uses...

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