Pediatrics

Development of a Machine Learning Algorithm for Differential Diagnosis Between Primary Immune Thrombocytopenia and Connective Tissue Disease-Related Thrombocytopenia in Pediatric Patients.

BACKGROUND: To develop a machine learning model for early differentiation of primary immune thromboc...

Predicting Insecticide-Treated Net Use Among Under-Five Children in Tanzania Using Machine Learning: Evidence From the 2022 Tanzania DHS.

BACKGROUND: Malaria remains a leading cause of morbidity and mortality in sub-Saharan Africa, dispro...

Yield-graph: multi-stage growth-aware maize yield prediction via graph neural networks.

Yield-Graph enables accurate maize yield prediction from incomplete multi-stage phenotypic and envir...

Identifying optimal dose head CT acquisition techniques through cluster analysis from 904,209 scans.

OBJECTIVES: To identify clinically established and frequently utilized routine head computed tomogra...

Predicting Craniospinal Surgery in Pediatric Achondroplasia: Benchmarking Statistical Inference and Explainable AI Under Rare-Disease Constraints.

PURPOSE: To develop a framework that benchmarks penalized statistical inference against explainable ...

Artificial Intelligence-Enabled Precision Education: A Novel Tool to Augment Radiology Residency Training.

RATIONALE AND OBJECTIVES: Radiology residency often fails to account for individual differences betw...

Automated segmentation and length measurement of metacarpal and phalangeal bones for hand radiograph evaluation.

Evaluating hand and wrist radiographs is essential in pediatric endocrinology and clinical genetics,...

From fear to empowerment: the impact of employees AI awareness on workplace well-being - a new insight from the JD-R model.

PURPOSE: The primary purpose of the study was to explore the impact of health workers' awareness of ...

The application of artificial intelligence in myopia prediction for children and adolescents: a review.

Myopia stands as a major threat to the eye health of children and adolescents, impacting their daily...

Quantifying human variability in pediatric bone age assessment: a multi-institutional multi-reader study and benchmark for AI evaluation.

BACKGROUND: Bone age assessment using the Greulich and Pyle atlas is widely used in pediatrics but i...

Generative AI-enabled neoantigen vaccine engineering: From tumor antigen discovery to personalized construct design and translational validation.

Neoantigen vaccines have rekindled interest in therapeutic cancer vaccination, yet their clinical ef...

Nailfold capillary phenotypes distinguish juvenile myositis subtypes and associate with disease activity.

BACKGROUND: Nailfold capillaroscopy is a non-invasive method to visualize altered microcirculation i...

Bridging Machine Learning and Event-Based Analyses to Assess Maternal Contingent Responses to Infant Nondistress and Distress Vocalizations From Home Audio Recordings.

Caregiver-infant vocal interactions are foundational for early development, yet most evidence is der...

The Role of Machine Learning and Artificial Intelligence in Enhancing Critical Care Nursing Practice: A Scoping Review.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are emerging as transformative to...

Artificial intelligence-enabled causal estimate of Medicare drug plan integration in cancer care: A doubly robust machine learning instrumental variable analysis.

BACKGROUND: Artificial intelligence (AI) methods are increasingly used to strengthen policy evaluati...

State-Specific Segmental Abnormalities of White Matter Structure and Function in Pediatric Bipolar Disorders.

OBJECTIVE: White matter (WM), as the critical infrastructure for neural communication, is implicated...

Comparative outcomes and predictive factors in vacuum, forceps, and sequential vacuum-forceps operative vaginal deliveries.

BACKGROUND: Operative vaginal delivery (OVD) is an important alternative to cesarean section, but th...

A Multitask Deep Learning Model for Pediatric Echocardiography Analysis: Promises and Limitations.

Visual representation bias in artificial intelligence-generated depictions of anesthesia, pain, and intensive care professionals.

ObjectiveTo evaluate the demographic and hierarchical representation biases in artificial intelligen...

Can LLMs reliably perform epidemiological extraction in elite football?

Anterior cruciate ligament (ACL) injuries remain a critical burden in professional football, resulti...

Non-invasive differentiation of diffuse midline glioma and midline glioblastoma using DCE-MRI perfusion parameters and machine learning classification in pediatric and young adult patients.

PURPOSE: Diffuse midline glioma (DMG) and midline glioblastoma (mGBM) are aggressive WHO grade 4 tum...