Pediatrics

Doctors' perceptions of using their digital twins in patient care.

Recent Artificial Intelligence (AI) advancements have facilitated tools capable of generating digita...

Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.

PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alte...

Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification...

The potential of Spirulina platensis to substitute antibiotics in Japanese quail diets: impacts on growth, carcass traits, antioxidant status, blood biochemical parameters, and cecal microorganisms.

The development of antibiotic-resistant microorganisms prompted the investigation of possible antibi...

Even deeper problems with neural network models of language.

We recognize today's deep neural network (DNN) models of language behaviors as engineering achieveme...

Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with in...

[Adrenal insufficiency as part of X-linked adrenoleukodystrophy].

BACKGROUND:  X-linked adrenoleukodystrophy (X-ALD) is a severe neurodegenerative metabolic disease w...

Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.

INTRODUCTION: Advances in wearable sensor technology have enabled the collection of biomarkers that ...

Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro.

Cumulus expansion is an important indicator of oocyte maturation and has been suggested to be indica...

Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics.

The ability to effectively represent microbiome dynamics is a crucial challenge in their quantitativ...

ChatGPT or LLM in next-generation drug discovery and development: pharmaceutical and biotechnology companies can make use of the artificial intelligence-based device for a faster way of drug discovery and development.

Phase-Dislocation-Mediated High-Dimensional Fractional Acoustic-Vortex Communication.

With unlimited topological modes in mathematics, the fractional orbital angular momentum (FOAM) demo...

Reconstructing growth and dynamic trajectories from single-cell transcriptomics data.

Time-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented opportunities to l...

Crisis averted: a world united against the menace of multiple drug-resistant superbugs -pioneering anti-AMR vaccines, RNA interference, nanomedicine, CRISPR-based antimicrobials, bacteriophage therapies, and clinical artificial intelligence strategies to safeguard global antimicrobial arsenal.

The efficacy of antibiotics and other antimicrobial agents in combating bacterial infections faces a...

Virtual hospital and artificial intelligence: a first step towards the application of an innovative health system for the care of rare cerebrovascular diseases.

The development of virtual care options, including virtual hospital platforms, is rapidly changing t...

Retracted: Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior.

[This retracts the article DOI: 10.1155/2022/1594108.].

Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.

INTRODUCTION: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethi...

Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks.

Neonates are not able to verbally communicate pain, hindering the correct identification of this phe...

Diagnosing injection-production system faults in the same well using the rough set-LVQ neural network.

This study proposed a reverse calculation model of the unique rod pump injection and production syst...

Microchip Versus Piezoelectric Point of Care Ultrasonography for Pulmonary and Vena Cava Evaluation in Patients With Acute Kidney Injury.

INTRODUCTION: Point-of-care ultrasonography (POCUS) has emerged as an important tool for examining c...

Increase in robot assisted operating room efficiency: A quality improvement study.

INTRODUCTION: Pyeloplasties are time-sensitive, and the most common robot assisted intervention perf...