Pediatrics

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

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Showing 127-147 of 6,400 articles
Bi-decadal trends in land cover and ecological dynamics across the Korean Peninsula with implications for sustainable development.

This study analyzes land cover and ecological changes on the Korean Peninsula over two decades (2001...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Inhibiting heme piracy by pathogenic Escherichia coli using de novo-designed proteins.

Iron is an essential nutrient for most bacteria and is often growth-limiting during infection, due t...

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study.

BACKGROUND: Operative notes are frequently mined for surgical concepts in clinical care, research, q...

Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.

Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki diseas...

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opport...

Streamlining medical software development with CARE lifecycle and CARE agent: an AI-driven technology readiness level assessment tool.

BACKGROUND: Developing medical software requires navigating complex regulatory, ethical, and operati...

Enhancing AI Readiness in Pediatric Surgery: Impact of a Targeted Workshop on Knowledge and Competencies.

INTRODUCTION: Despite an awareness of the transformative potential of Artificial Intelligence (AI) i...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Artificial intelligence in allergy practice: Digital transformation and the future of clinical care.

Bioethics involves the analysis of human behavior in the life and health sciences, grounded in moral...

The development of the generative adversarial supporting vector machine for molecular property generation.

The generative adversarial network (GAN) is a milestone technique in artificial intelligence, and it...

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. Wh...

Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-inco...

Reviving the Past, Moving on to the Present, and Planning for the Future of Craniofacial Malformations.

The malformed newborn with craniofacial anomalies was variously regarded in different civilizations....

Recent Advances in Machine Learning-Assisted Design and Development of Polymer Materials.

The traditional research paradigm for polymer materials relies heavily on time-consuming and ineffic...

Current Research and Development in the Field of Magnetic Resonance Contrast Media.

The next-generation, high relaxivity, gadolinium-based contrast agents (GBCAs) are discussed, togeth...

Harnessing technology for hope: a systematic review of digital suicide prevention tools.

This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile a...

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