Pediatrics

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

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Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease.

OBJECTIVE: To use artificial intelligence (AI) to automatically extract video clips of the fetal hea...

(1)
Feb 2025 39916306
Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART)...

Feb 2025 39982152
A living scoping review and online repository of artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative.

INTRODUCTION: Artificial intelligence (AI) is increasingly being applied across pediatric urology. W...

Feb 2025 39956703
Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.

IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practi...

Feb 2025 39903466
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.

Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisiti...

Feb 2025 39919411
Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images.

PURPOSE: This study aimed to develop a deep-learning framework to generate multi-organ masks from CT...

(1)
Feb 2025 39899952
Artificial intelligence in surgery: evolution, trends, and future directions.

Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-...

(2)
Feb 2025 39693484
Visual collective behaviors on spherical robots.

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

Jan 2025 39813794
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...

(2)
Jan 2025 39889809
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...

(1)
Jan 2025 39883924
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...

(1)
Jan 2025 39940969
Paradigms of intraoperative neuromonitoring in paediatric thyroid surgery.

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

Jan 2025 39950168
Artificial Intelligence in Fetal Growth Restriction Management: A Narrative Review.

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

(1)
Jan 2025 39887783
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...

(1)
Jan 2025 39884060
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 (...

(1)
Jan 2025 39881022
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...

(2)
Jan 2025 39997997
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...

(1)
Jan 2025 39875462
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 ...

(2)
Jan 2025 39875226
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