Pediatrics

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

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Causal factors in childhood and adolescence leading to anabolic-androgenic steroid use: A machine learning approach.

BACKGROUND: Prior research has demonstrated associations between anabolic-androgenic steroid (AAS) u...

Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder.

ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the...

Procalcitonin Levels in Identifying Bacterial Infections in Children with and without COVID-19.

OBJECTIVE: Elevated procalcitonin levels have been associated with bacterial infection in children. ...

Symptomatic hypercalcemia in an infant secondary to excessive consumption of almond milk as a formula alternative.

A 4-month-old previously healthy female presented with persistent nonbloody, nonbilious emesis, decr...

Breaking Barriers-The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review.

(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmoniz...

Antifungal Activity of Thirty Essential Oils to Control Pathogenic Fungi of Postharvest Decay.

Essential oils (EOs) extracted from aromatic or medicinal plants are biodegradable, safe, and regard...

Deep Learning for Automated Measurement of Total Cardiac Volume for Heart Transplantation Size Matching.

BACKGROUND: Total Cardiac Volume (TCV) based size matching using Computed Tomography (CT) is a novel...

Trace element concentrations in blood samples from dairy cows with uterine torsion and their neonatal calves.

BACKGROUND AND AIM: Mineral deficiencies can lead to dystocia and abnormalities in neonates. Stillbi...

AI-augmented clinical decision in paediatric appendicitis: can an AI-generated model improve trainees' diagnostic capability?

UNLABELLED: Accurate diagnosis of paediatric appendicitis remains a challenge due to its diverse cli...

Anti-infliximab antibodies and low infliximab levels correlate with drug discontinuation in pediatric inflammatory bowel disease.

BACKGROUND: Infliximab (IFX) use is limited by loss of response often due to the development of anti...

A computational tumor growth model experience based on molecular dynamics point of view using deep cellular automata.

Cancer, as identified by the World Health Organization, stands as the second leading cause of death ...

Pembrolizumab alters the tumor immune landscape in a patient with dMMR glioblastoma.

Congenital DNA mismatch repair defects (dMMR), such as Lynch Syndrome, predispose patients to a vari...

Robot-assisted resection of benign splenic tumors in children.

PURPOSE: Robotic surgery is becoming increasingly widely used in the field of pediatric surgery. The...

Neuroquantification enhances the radiological evaluation of term neonatal hypoxic-ischaemic cerebral injuries.

BACKGROUND: Injury patterns in hypoxic-ischaemic brain injury (HIBI) are well recognised but there a...

Development of an explainable artificial intelligence model for Asian vascular wound images.

Chronic wounds contribute to significant healthcare and economic burden worldwide. Wound assessment ...

Machine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims Data Source.

BACKGROUND: With an increasing interest in using large claims databases in medical practice and rese...

Palatability and Stability Studies to Optimize a Carvedilol Oral Liquid Formulation for Pediatric Use.

Carvedilol (CARV) is a blocker of α- and β- adrenergic receptors, used as an "off-label" treatment f...

Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach.

Free-text information represents a valuable resource for epidemiological surveillance. Its unstructu...

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