Pediatrics

A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection.

. Automated artefact detection in the neonatal electroencephalogram (EEG) is crucial for reliable au...

How can machine learning and multiscale modeling benefit ocular drug development?

The eyes possess sophisticated physiological structures, diverse disease targets, limited drug deliv...

A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

BACKGROUND: The 21st Century Cures Act mandates the immediate, electronic release of health informat...

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography.

X-ray crystallography is the most commonly employed technique to discern macromolecular structures, ...

An automatic and accurate deep learning-based neuroimaging pipeline for the neonatal brain.

BACKGROUND: Accurate segmentation of neonatal brain tissues and structures is crucial for studying n...

Comprehensive Functional Annotation of Metagenomes and Microbial Genomes Using a Deep Learning-Based Method.

Comprehensive protein function annotation is essential for understanding microbiome-related disease ...

Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features.

BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant develop...

Computational design of clinical trials using a combination of simulation and the genetic algorithm.

Artificial intelligence (AI) has come to be used in various technological fields in recent years. Ho...

Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.

OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal ...

Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology.

Implementation of behavior therapy for ADHD faces challenges in community settings. We describe deve...

iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction.

The human cerebral cortex undergoes dramatic and critical development during early postnatal stages....

Bayesian Statistics for Medical Devices: Progress Since 2010.

The use of Bayesian statistics to support regulatory evaluation of medical devices began in the late...

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.

As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspects of life and the global h...

Identification of gene profiles related to the development of oral cancer using a deep learning technique.

BACKGROUND: Oral cancer (OC) is a debilitating disease that can affect the quality of life of these ...

Predictors of suicide ideation among South Korean adolescents: A machine learning approach.

BACKGROUND: The current study developed a predictive model for suicide ideation among South Korean (...

Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling.

Aortic stenosis (AS) affects about 1.5 million people in the United States and is associated with a ...

De novo design of luciferases using deep learning.

De novo enzyme design has sought to introduce active sites and substrate-binding pockets that are pr...

Critical Device Reliability Assessment in Healthcare Services.

Medical device reliability is the ability of medical devices to endure functioning and is indispensa...

Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics.

Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.

Measurement is at the heart of scientific research. As many-perhaps most-psychological constructs ca...

Learning Relationships Between Chemical and Physical Stability for Peptide Drug Development.

PURPOSE OR OBJECTIVE: Chemical and physical stabilities are two key features considered in pharmaceu...