Pediatrics

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

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A Novel Dual-Outcome Risk Calculator for Trial of Labor After Cesarean

Objective: To develop and validate a multivariable prediction model and clinically actionable risk s...

Circulating miRNA-Protein Signatures Predict Outcomes in Pediatric Dilated Cardiomyopathy

Background: Pediatric dilated cardiomyopathy (DCM) is a rare, progressive heart disease with variabl...

Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media

Advances in social media data dissemination enable the provision of real-time information during a c...

Non-perturbative Bacterial Identification Directly from Solid Agar Plates Using Raman

Raman spectroscopy is a promising tool for microbial identification, yet its implementation in micro...

Spatial Agent-Based Modeling and Interpretable Machine Learning Predict Combination Therapy Response in HER2-Heterogeneous Breast Cancer

HER2 heterogeneity and reversible phenotypic plasticity play a central role in breast cancer progres...

A twin-aware multimodal deep learning framework with optimized late fusion for early prediction of adolescent anxiety disorder

Mental health related problems in adolescents are not always properly evaluated because of incomplet...

Predictors of COVID-19 hospital outcomes: a machine learning analysis of the National COVID Cohort Collaborative

Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...

Non-invasive Growth Monitoring of Small Freshwater Fish in Home Aquariums via Stereo Vision

Monitoring fish growth behavior provides relevant information about fish health in aquaculture and h...

Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...

dAMN: a genome scale neural-mechanistic hybrid model to predict bacterial growth dynamics

This study presents dAMN, a hybrid neural-mechanistic model that integrates neural networks with gen...

A high-throughput method for measuring fungal growth rate on solid media using automated imaging and deep learning

Measuring the growth rate of filamentous fungi is an essential phenotype assay in fungal biology, en...

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...

Evaluating a Locally Deployed 20-Billion Parameter Large Language Model for Automated Abstract Screening in Systematic Reviews

Abstract Background: Systematic reviews (SRs) are essential for evidence-based medicine but require ...

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...

Physics-Based Growth and Remodeling Modeling for Virtual Abdominal Aortic Aneurysm Evolution and Growth Prediction

Computational growth and remodeling (G&R) models have been extentively used to investigate abdominal...

An autonomous system for multi-objective continuous evolution at scale

Natural evolution is high-dimensional; organisms adapt to many pressures at once, across substrates,...

Applying AI models to digital placental photographs to automate and improve morphology assessments

Background: Placental growth and function are imperative for healthy fetal growth; data on placentas...

Leveraging large language models to address common vaccination myths and misconceptions

Large language models (LLMs) are increasingly used by the public to seek health information, yet the...

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