Pediatrics

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

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Large Language Models in peri-implant disease: How well do they perform?

STATEMENT OF PROBLEM: Artificial intelligence (AI) has gained significant recent attention and sever...

Proposing a machine learning-based model for predicting nonreassuring fetal heart.

The capacity to forecast nonreassuring fetal heart (NFH) is essential for minimizing perinatal compl...

Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm.

OBJECTIVE: To explore the risk factors that affect adolescents' suicidal and self-injurious behavior...

Metabolic reprogramming and machine learning-guided cofactor engineering to boost nicotinamide mononucleotide production in Escherichia coli.

Nicotinamide mononucleotide (NMN) is a bioactive compound in NAD(P) metabolism, which exhibits diver...

Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions ...

A deep learning model for radiological measurement of adolescent idiopathic scoliosis using biplanar radiographs.

BACKGROUND: Accurate measurement of the spinal alignment parameters is crucial for diagnosing and ev...

Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data.

BACKGROUND: Single-cell multi-omics technologies, particularly single-cell RNA sequencing (scRNA-seq...

Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-bein...

Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of...

Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs.

PURPOSES: To develop a predictive model for recurrent intussusception based on abdominal ultrasound ...

Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions.

This study introduces an AI-derived pain sign for continuous neonatal pain assessment, addressing th...

Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature.

The use of technology in healthcare and healthcare education settings has increased rapidly across t...

Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.

Examining the altered arrangement and patterning of sulcal folds offers insights into the mechanisms...

Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, pa...

The use of artificial intelligence in psychotherapy: development of intelligent therapeutic systems.

BACKGROUND: The increasing demand for psychotherapy and limited access to specialists underscore the...

OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction.

The key roles of Major Histocompatibility Complex (MHC) Class I and II molecules in the immune syste...

Nonlocal models in biology and life sciences: Sources, developments, and applications.

Mathematical modeling is one of the fundamental techniques for understanding biophysical mechanisms ...

Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination.

The rapid deployment of COVID-19 vaccines has necessitated the ongoing surveillance of adverse event...

Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in...

Modelling of pome fruit pollen performance using machine learning.

Agriculture, particularly fruit production, is considered a crucial industry with a significant econ...

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