Pediatrics

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

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Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model.

BACKGROUND: Prediction models based on machine learning (ML) methods are being increasingly develope...

Onset and long-term duration of immunity provided by a single vaccination with recombinant a Marek's disease virus with REV-LTR insertion.

Marek's Disease (MD), caused by Marek's disease virus (MDV), is a highly contagious lymphoproliferat...

Age-Related Cognitive and Volumetric Changes in the Brain of African Grasscutter ( (Temminck, 1827)).

The African grasscutter (AGC) () is the second largest rodent in sub-Saharan Africa. It is bred for ...

Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans.

Predicting the infiltration of Glioblastoma (GBM) from medical MRI scans is crucial for understandin...

Artificial intelligence in emergency neuroradiology: Current applications and perspectives.

Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...

Active learning for extracting rare adverse events from electronic health records: A study in pediatric cardiology.

OBJECTIVE: Automate the extraction of adverse events from the text of electronic medical records of ...

Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players.

Growing evidence supports that early sport specialization in children and adolescents may compromise...

Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach.

BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are prevalent among pediatric p...

Effects of endophytes on early growth and ascorbate metabolism in .

Understanding the early interactions between plants and endophytes will contribute to a more systema...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze,...

Development of deep learning-based mobile application for the identification of Coccidia species in pigs using microscopic images.

Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isosp...

Quantitative fibrosis identifies biliary tract involvement and is associated with outcomes in pediatric autoimmune liver disease.

BACKGROUND: Children with autoimmune liver disease (AILD) may develop fibrosis-related complications...

Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis.

BACKGROUND: Real-time monitoring of pediatric epileptic seizures poses a significant challenge in cl...

Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation.

BACKGROUND: Percutaneous extracorporeal membrane oxygenation (ECMO) is administered to pediatric pat...

Machine learning algorithms for the early detection of bloodstream infection in children with osteoarticular infections.

BACKGROUND: Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patie...

Rhabdomyosarcoma Classification: Refining Our Understanding.

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximatel...

Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.

OBJECTIVES: Neonatal hypoxic-ischemic encephalopathy is a serious neurologic condition associated wi...

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