Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

7,324 articles
Stay Ahead - Weekly Pediatrics research updates
Subscribe
Browse Categories
Showing 5321-5340 of 7,324 articles

Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.

BACKGROUND: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregiver...

Apr 1 2025 39883541

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study.

BACKGROUND: Left ventricular systolic dysfunction (LVSD) is independently associated with cardiovascular events in patients with congenital heart disease. Although artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis is predictive of LVSD in the general adult population, it has yet to be applied comprehensively across congenital heart disease lesions.

Apr 1 2025 40148010
Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review.

BACKGROUND: Neonatal seizures are one of the most prevalent clinical manifestations of neurological conditions, requiring urgent intervention and dete...

Apr 1 2025 40189779
Congenital Heart Disease Classification Using Phonocardiograms: A Scalable Screening Tool for Diverse Environments

Congenital heart disease (CHD) is a critical condition that demands early detection, particularly in infancy and childhood. This study presents a de...

Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation

News videos require efficient content organisation and retrieval systems, but their unstructured nature poses significant challenges for automated p...

Utsarjan: A smartphone App for providing kidney care and real-time assistance to children with nephrotic syndrome

Background Telemedicine has the potential to provide secure and cost-effective healthcare at the touch of a button. Nephrotic syndrome is a chronic ...

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction

Investigating the public experience of urgent care facilities is essential for promoting community healthcare development. Traditional survey method...

TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews

Thematic analysis (TA) is a widely used qualitative approach for uncovering latent meanings in unstructured text data. TA provides valuable insights...

Raising Awareness of Location Information Vulnerabilities in Social Media Photos using LLMs

Location privacy leaks can lead to unauthorised tracking, identity theft, and targeted attacks, compromising personal security and privacy. This stu...

Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors

Human-object interaction (HOI) synthesis is important for various applications, ranging from virtual reality to robotics. However, acquiring 3D HOI ...

CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language Model

Proving Rubik's Cube theorems at the high level represents a notable milestone in human-level spatial imagination and logic thinking and reasoning. ...

A Comprehensive Framework for Predictive Computational Modeling of Growth and Remodeling in Tissue-Engineered Cardiovascular Implants

Developing clinically viable tissue-engineered cardiovascular implants remains a formidable challenge. Achieving reliable and durable outcomes requi...

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

In the contemporary fight against cancer, primary health care (PHC) services hold a significant and critical position within the healthcare system. Th...

Mar 21 2025 40128045
Vision-Speech Models: Teaching Speech Models to Converse about Images

The recent successes of Vision-Language models raise the question of how to equivalently imbue a pretrained speech model with vision understanding, ...

FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis

Fetal ultrasound (US) examinations require the acquisition of multiple planes, each providing unique diagnostic information to evaluate fetal develo...

From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Construction

The transition towards patient-centric healthcare necessitates a comprehensive understanding of patient journeys, which encompass all healthcare exp...

Generating Medically-Informed Explanations for Depression Detection using LLMs

Early detection of depression from social media data offers a valuable opportunity for timely intervention. However, this task poses significant cha...

Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables includin...

CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware

Large Language models have demonstrated excellent domain-specific question-answering capabilities when finetuned with a particular dataset of that s...

Towards properties of adversarial image perturbations

Using stochastic gradient approach we study the properties of adversarial perturbations resulting in noticeable growth of VMAF image quality metric....

Browse Categories