Pediatrics

Deep transfer learning for detection of placenta-mediated diseases from ultrasound images.

Placenta-mediated diseases, such as preeclampsia (PE) and small-for-gestational-age (SGA) neonates, are associated with structural and functional changes in the placenta. While ultrasound is routinely performed during pregnancy, its potential for detecting such diseases using deep learning remains underexplored. This study presents a deep transfer learning approach using Convolutional Neural Netwo...

A fractional ABC model for hepatitisB virus transmission with forecasting of epidemic trends using neural networks.

This paper develops a fractional-order HBV epidemic model using the Atangana-Baleanu-Caputo (ABC) fractional derivative with a nonsingular Mittag-Leffler kernel to capture memory-dependent epidemic dynamics associated with chronic HBV progression. The model incorporates vaccinated, susceptible, exposed, infected, and recovered compartments together with vaccination, waning immunity, recovery, and ...

Mapping the research landscape of myelodysplastic syndromes: a scientometric analysis (2014-2025).

This scientometric study critically evaluates the global evolution of myelodysplastic syndromes (MDS) research from 2014 to 2025, aiming to integrate ...

AI and machine learning for early identification of eating disorders: a narrative review and Indian contextual insights.

BACKGROUND: Eating disorders (EDs) are a growing global health concern and are increasingly associated with negative body-image perceptions linked to ...

Can ChatGPT provide reliable guidance to families of children with Duchenne Muscular Dystrophy? A dual perspective of parents and experts.

BACKGROUND: Artificial intelligence (AI)-driven chatbots, such as ChatGPT, have the potential to improve healthcare communication by providing timely ...

A conceptual agentic AI architecture for MASLD-associated significant fibrosis in primary care.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent yet often underdiagnosed or undertreated in primary care due to a...

Integrative transcriptomic and CRISPR dependency analysis identifies hepatoblastoma-specific essential genes and actionable vulnerabilities.

BACKGROUND: Hepatoblastoma (HB) is the most common primary liver malignancy in childhood, yet its molecular determinants, functional dependencies, and...

Machine learning-assisted non-destructive prediction of root architecture in early-stage tomato rootstocks.

The architecture of the root system is a primary factor in determining rootstock performance, affecting water and nutrient uptake, biomass accumulatio...

How US Youth Use AI Chatbots: Conversation Patterns from Naturalistic Keystroke Observations.

BACKGROUND: Background. Youth are increasingly engaging with generative artificial intelligence (genAI) chatbots, yet little is known about the nature...

From clusters to clinical rules: unsupervised machine learning identifies four newborn hearing phenotypes with bedside risk stratification.

OBJECTIVE: To identify risk patterns among high-risk newborns associated with hearing screening failure using unsupervised machine learning. STUDY DES...

SinTransNet: an EEG-based deep learning framework for infantile epileptic spasms syndrome detection.

Infantile Epileptic Spasms Syndrome (IESS) represents a severe form of developmental epileptic encephalopathy in infancy, characterized by clusters of...

Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges.

Artificial intelligence (AI) is increasingly integrated into burn care for triage, burn-depth assessment, prognostic scoring, pain management, and tel...

Pediatric radiology informatics within a larger academic practice.

As academic health systems increasingly consolidate with unified electronic health records (EHR), picture archiving and communication systems (PACS), ...

[Beyond the bladder-a specialty rediscovering itself: Outpatient. Networked. Digital].

BACKGROUND: Urology is undergoing a fundamental transformation characterized by increasing outpatient care, digitalization, and cross-sectoral network...

Automatic annotation to train ROI detection algorithm for premature infant respiration monitoring in NICU.

Visual monitoring of vital parameters in premature infants has become an intensively studied area in recent years. Among these parameters, respiration...

Right Ventricular Metrics as End Points in Clinical Trials: A Review.

IMPORTANCE: Clinical trials in cardiovascular medicine aim to deliver high-quality evidence with greater efficiency, including smaller sample sizes an...

Exploring Non-Embodied AI-Based Digital Companions for Older Adults in Aging and Care Contexts: Protocol for a Scoping Review.

BACKGROUND: Conversational artificial intelligence (AI) technologies are increasingly positioned as a response to social isolation, loneliness, and un...

Predictive Modeling of Enterovirus Hospital Burden Using Machine Learning and Age-Specific Surveillance Data: Operational Forecasting in Taiwan During the Postpandemic Era.

BACKGROUND: Enterovirus infections cause substantial pediatric morbidity worldwide, with severe cases requiring hospitalization. Accurate forecasting ...

Trends and Hot Spots in Cancer Family Resilience: A Bibliometric and Visualization Study.

PROBLEM IDENTIFICATION: Cancer family resilience has become an important interdisciplinary focus in oncology, nursing, and psychosocial care. However,...

Advances in the management of pediatric low-grade glioma.

Pediatric low-grade gliomas (pLGGs), the most common CNS tumors in children, are increasingly recognized as chronic diseases with prolonged courses an...