Pediatrics

Measuring intensive care performance to attain collaborative quality improvement: Work in progress but much to be done.

Intensive Care Medicine must be viewed as an organized system of care that ensures delivery of timel...

Developing and validating machine learning models to predict next-day extubation.

Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...

Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia.

Despite the critical role of DNA methylation, clinical implementations harnessing its promise have n...

Urea-mediated growth engineering of Au@Ag core-shell nanostructures: an enzymatic detection strategy with machine learning-assisted comparative analysis.

A non-invasive, enzyme-based colorimetric biosensor was developed for urea detection in saliva, util...

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests.

Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements...

Development and validation of a cranial ultrasound imaging-based deep learning model for periventricular-intraventricular haemorrhage detection and grading: a two-centre study.

BACKGROUND: Periventricular-intraventricular haemorrhage (IVH) is the most prevalent type of neonata...

Use of imaging biomarkers and ambulatory functional endpoints in Duchenne muscular dystrophy clinical trials: Systematic review and machine learning-driven trend analysis.

Duchenne muscular dystrophy (DMD) is a rare X-linked genetic muscle disorder affecting primarily ped...

Artificial intelligence in pediatric ophthalmology: a comparative study of ChatGPT-4.0 and DeepSeek-R1 performance.

: This study aims to evaluate and compare the accuracy and performance of two large language models ...

Advancements in photobioreactor designs for development of microalgal biorefinery toward integrated remediation of industrial wastewater and product recovery.

Microalgae are considered as the most promising self-reliant feedstock and a potential source of val...

Artificial intelligence in pediatric eye care: Assessing the necessity and impact.

A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades.

Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others...

Data Transformation to Advance AI/ML Research and Implementation in Primary Care.

Artificial intelligence and machine learning (AI/ML) in health care is accelerating at a breathtakin...

Wavelet-Attention deep model for pediatric ADHD diagnosis via EEG.

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in childr...

Artificial Intelligence for Materials Discovery, Development, and Optimization.

This review highlights the recent transformative impact of artificial intelligence (AI), machine lea...

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in criti...

Touchless monitoring of neonatal activity: a multi-center study.

BACKGROUND: Neonatal activity level is an important physiological parameter linked to lethargic resp...

Analyzing pediatric forearm X-rays for fracture analysis using machine learning.

PURPOSE: Forearm fractures constitute a significant proportion of emergency department presentations...

Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.

Nursing care activities are essential to healthcare delivery, directly impacting patient safety, rec...

Artificial intelligence in advanced practice nursing education: Opportunities and challenges.

Artificial intelligence (AI) is transforming health care delivery and education, offering both oppor...

Imaging Clusters of Pediatric Low-Grade Glioma Are Associated with Distinct Molecular Characteristics.

BACKGROUND AND PURPOSE: Cancers show heterogeneity at various levels, from genome to radiologic imag...