Pediatrics

Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches

Following the successful paradigm shift of large language models, leveraging pre-training on a mas...

CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks

Humanoid teleoperation plays a vital role in demonstrating and collecting data for complex humanoi...

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces

Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs m...

DCD: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber View

Accurate segmentation of anatomical structures in the apical four-chamber (A4C) view of fetal echo...

Improving Bovine Brucellosis Diagnostics: Rapid, Accurate Detection via Blood Serum Infrared Spectroscopy and Machine Learning.

Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing l...

Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control

Automated driving (AD) has substantially improved vehicle safety and driving comfort, but their im...

WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop

The rising prevalence of chronic wounds, especially in aging populations, presents a significant h...

FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks

Medical image segmentation is a critical task in computer vision, with UNet serving as a milestone...

TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood

Extracranial tissues visible on brain magnetic resonance imaging (MRI) may hold significant value ...

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

We present ReXVQA, the largest and most comprehensive benchmark for visual question answering (VQA...

Performance of leading large language models in May 2025 in Membership of the Royal College of General Practitioners-style examination questions: a cross-sectional analysis

Background: Large language models (LLMs) have demonstrated substantial potential to support clinic...

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showca...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).

Highlights 2024.

publishes research, technical developments, and reviews related to cardiac, vascular, and thoracic ...

molecular investigation of microalgae cellulose synthase under salinity conditions and evaluation of the proportionate effects on cellulose production.

UNLABELLED: is a microalgae with more than substantially 60-70% cellulose in its cell wall, making ...

Machine learning-assisted classification of hip conditions in pediatric cerebral palsy patients using migration percentage measurements.

Hip displacement is a significant concern in children with cerebral palsy (CP), necessitating accura...

An approach to screen susceptible rats and efficacy of an antidepressive treatment after chronic stress.

Chronic stress during life has been considered a risk factor for the development of psychiatric illn...

Glycosyltransferases in human milk oligosaccharide synthesis: structural mechanisms and rational design.

Human milk oligosaccharides (HMOs) play a pivotal role in infant health through their multifunctiona...

Use of an Untrained Large Language Model for Antibiotic Prescription in Pediatric Infectious Diseases at Primary Care Settings: A Study From the Italian Society for Pediatric Infectious Diseases.

The development of artificial intelligence systems is revolutionizing many fields of medicine, but s...

Healthcare resource utilization for the management of neonatal head shape deformities: a propensity-matched analysis of AI-assisted and conventional approaches.

OBJECTIVE: Overuse of radiography studies and underuse of conservative therapies for cranial deformi...

Deep learning-driven imaging of cell division and cell growth across an entire eukaryotic life cycle.

The life cycle of eukaryotic microorganisms involves complex transitions between states such as dorm...