Pediatrics

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

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A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.

Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...

Visual collective behaviors on spherical robots.

The implementation of collective motion, traditionally, disregard the limited sensing capabilities o...

The Liver Intensive Care Unit.

Major advances in managing critically ill patients with liver disease have improved their prognosis ...

Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis.

Adolescent Idiopathic Scoliosis (AIS) is a prevalent structural deformity disease of human spine, an...

High resolution multi-delay arterial spin labeling with self-supervised deep learning denoising for pediatric choroid plexus perfusion MRI.

Choroid plexus (CP) is an important brain structure that produces cerebrospinal fluid (CSF). CP perf...

Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.

The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...

Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development.

BACKGROUND: Primary intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that pre...

Paradigms of intraoperative neuromonitoring in paediatric thyroid surgery.

The larynx of children and adolescents is still in the developmental phase and the anatomical struct...

Artificial Intelligence in Fetal Growth Restriction Management: A Narrative Review.

This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, par...

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.

Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for...

Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization.

Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence...

Graph Neural Network Learning on the Pediatric Structural Connectome.

PURPOSE: Sex classification is a major benchmark of previous work in learning on the structural conn...

Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.

BACKGROUND: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (...

An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study.

BACKGROUND: Suicide represents a critical public health concern, and machine learning (ML) models of...

A pediatric emergency prediction model using natural language process in the pediatric emergency department.

This study developed a predictive model using deep learning (DL) and natural language processing (NL...

Mental health phenotypes of well-controlled HIV in Uganda.

INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH)...

A novel clinical investigation using deep learning and human-in-the-loop approach in orbital volume measurement.

Orbital volume assessment is crucial for surgical planning. Traditional methods lack efficiency and ...

Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scolios...

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