Pediatrics

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the eme...

Deep learning feature-based model on abdominal radiography outperforms experts for early necrotizing enterocolitis diagnosis in neonates.

OBJECTIVES: Plain abdominal radiography is a widely used imaging modality for diagnosing neonatal ne...

Deep learning-based automatic measurement of the femoral head ossification center in healthy Korean children: development of a novel radiographic growth chart.

OBJECTIVES: To develop and validate a deep learning (DL)-based algorithm for automated measurement o...

Current treatment options for perinatal depression.

PURPOSE OF REVIEW: Perinatal depression (PND) affects up to one in five patients and is the leading ...

Robot Nurses and Artificial Intelligence in Pediatrics: Opinions of Pediatric Nurses: A Qualitative Study.

INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and ...

Evidence-Based Guidelines for Podcast Production and Use in Competency-Based Health Professions Education.

BACKGROUND: Podcasts are a popular educational tool in health professions that appeal to learners fo...

Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners.

Artificial intelligence (AI) is rapidly transforming pediatric healthcare, yet many pediatric nurse ...

Lightweight interpretable AI model using multiple blood parameters for emergency diagnosis of acute appendicitis.

BACKGROUND: Acute appendicitis poses diagnostic challenges due to symptom overlap with other abdomin...

Development of a new tool for prediction of hospital length of stay and intensive care needs in trauma patients using Machine Learning.

BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and...

Machine Learning-Based Prediction Model for Delayed Chemotherapy-Induced Nausea and Vomiting in Pediatric Cancer: A Prospective Cohort Study.

BACKGROUND: Delayed chemotherapy-induced nausea and vomiting (CINV) in pediatric oncology patients i...

Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in chil...

Multi-Architecture deep learning for CBCT segmentation of dental hard tissues and pulp in mixed dentition.

OBJECTIVE: To develop and evaluate deep learning-based 3D models (CNN, Transformer, and Mamba archit...

Comparative study of the performance of two versions of the same AI tool for pediatric skeletal maturation assessment.

OBJECTIVES: To compare BoneXpert version 3 with version 2 in estimating bone age and bone health ind...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisens...

Advances in melanoma immunotherapy: harnessing vaccination as a potential novel immunotherapeutic strategy.

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to impr...

Axial and choroidal changes as key predictors of myopia control in red-light therapy: Evidence from machine learning models.

BACKGROUND: Repeated low-level red-light (RLRL) therapy has emerged as a promising non-invasive inte...

Advancements in radiation dose reduction for pediatric CT head Imaging: A scoping review of emerging Technologies, Protocols, and optimization strategies.

Computed tomography (CT) is an important imaging modality that provides cross-sectional images, aidi...

Acute kidney injury: Detection, risk stratification, and predictive biomarkers.

BACKGROUND: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid ...

Artificial intelligence for personalized management of vestibular schwannoma: a multidisciplinary clinical implementation study.

OBJECTIVES: Management of patients with vestibular schwannoma (VS) relies on precise tumor size and ...

Unlocking academic gains in smart-classroom settings: A moderated-mediation study among Chinese undergraduates.

China's higher education system has invested heavily in the development of sensor-rich smart classro...

Using artificial intelligence to rewrite the script on pediatric ENT patient education.