Pediatrics

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

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Imitation of complex whole-body sequence in profoundly hearing-impaired adolescents.

Many studies have identified specific visual advantages in deaf individuals. However, few studies ha...

Machine Learning-Based Identification of Phonological Biomarkers for Speech Sound Disorders in Saudi Arabic-Speaking Children.

This study investigates the application of machine learning (ML) techniques in diagnosing speech so...

Explainable Artificial Intelligence in Radiological Cardiovascular Imaging-A Systematic Review.

Artificial intelligence (AI) and deep learning are increasingly applied in cardiovascular imaging. ...

Resting state EEG classifies developmental status in three-year-old children.

Monitoring cognitive development in early childhood enables detection of problems for timely interve...

Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.

Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant r...

Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ transplantations.

Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibo...

Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.

UNLABELLED: Millions of people worldwide have diabetes, a disease that is becoming more common and h...

Tract integrity predicts neurological outcomes in neonatal hypoxic-ischemic encephalopathy.

OBJECTIVE: Early prognostication in infants with neonatal hypoxic-ischemic encephalopathy (HIE) is c...

Artificial Intelligence's Role in Improving Adverse Pregnancy Outcomes: A Scoping Review and Consideration of Ethical Issues.

: Adverse pregnancy outcomes (APOs), which include hypertensive disorders of pregnancy (gestational ...

Harnessing Artificial Intelligence in Pediatric Oncology Diagnosis and Treatment: A Review.

Artificial intelligence (AI) is rapidly transforming pediatric oncology by creating new means to imp...

Classification of epilepsy seizure types in pediatrics based on Turkish EEG reports.

This study focuses on the binary classification of pediatric epilepsy seizure types as focal or gene...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Persistent geographic and specialty-based disparities in health care workforce distribution have cre...

It Takes More Than Enthusiasm: The Missing Infrastructure to Unlock AI's Potential in Medical Education.

Generative artificial intelligence (AI), including large language models (LLMs), is rapidly transfor...

Unified estimation of rice canopy leaf area index over multiple periods based on UAV multispectral imagery and deep learning.

BACKGROUND: Rice is one of the major food crops in the world, and the monitoring of its growth condi...

Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model.

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that challenges early ...

A qualitative analysis of college students' interest in mHealth solutions.

This study explores college students' perceptions of an AI-driven mHealth application designed to pr...

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy.

OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...

Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.

The integration and utilization of digital media, gamified learning strategies, and artificial intel...

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