Pediatrics

Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents.

STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-co...

Artificial intelligence in pediatric sleep staging: a new era or a complementary tool?

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment

In pediatric orthodontics, accurate estimation of growth potential is essential for developing eff...

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Pediatric medical imaging presents unique challenges due to significant anatomical and development...

Modeling and Reversing Brain Lesions Using Diffusion Models

Brain lesions are abnormalities or injuries in brain tissue that are often detectable using magnet...

LLMs are Introvert

The exponential growth of social media and generative AI has transformed information dissemination...

Teaching Sustainable Creative Technologies

Artists and especially new media artists contribute to public perceptions and adoption of new tech...

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains

The recent proliferation of photorealistic AI-generated images (AIGI) has raised urgent concerns a...

Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.

BACKGROUND AND HYPOTHESIS: Suicide attempt is a complex behavior influenced by a combination of fact...

Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products

Machine learning methods are increasingly applied to analyze health-related public discourse based...

AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions

Vaccination plays a vital role in global public health, yet healthcare professionals often struggl...

UltraDfeGAN: Detail-Enhancing Generative Adversarial Networks for High-Fidelity Functional Ultrasound Synthesis

Functional ultrasound (fUS) is a neuroimaging technique known for its high spatiotemporal resoluti...

Intelligent Histology for Tumor Neurosurgery

The importance of rapid and accurate histologic analysis of surgical tissue in the operating room ...

Designing for Community Care: Reimagining Support for Equity & Well-being in Academia

Academic well-being is deeply influenced by peer-support networks, yet they remain informal, inequ...

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Fetal abdominal malformations are serious congenital anomalies that require accurate diagnosis to ...

CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...

Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction.

Breast reconstruction using tissue expanders is the primary treatment option following mastectomy. A...

Building efficiency: How the national AI innovation pilot zones enhance green energy utilization? Evidence from China.

Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduct...

Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.

OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a...

Circapproved: Digital Pattern Recognition via Artificial Neural Network for the Identification of Normal Penis Parameters for Circumcision Eligibility Using Mobile App.

BACKGROUND: Circumcision is a prevalent surgical procedure performed for medical, cultural, and reli...

Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy.

PURPOSES: This study aimed to develop a computed tomography (CT)-based multi-organ segmentation mode...