Pediatrics

Pediatric coronary MR angiography with a two-minute scan using de-aliasing regularization based compressed sensing.

BACKGROUND: Long acquisition time limits the clinical utility of coronary magnetic resonance angiography (CMRA) in pediatric populations. While deep learning-based reconstruction methods such as De-Aliasing Regularization-based Compressed Sensing (DARCS) hold promise for accelerating CMRA, its clinical feasibility in pediatric populations remains unexplored. PURPOSE: This study aims to reduce scan...

The lived experience of social anxiety disorder: A conceptual model focused on adolescents and young adults based on published literature and social media listening.

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characterized by an intense fear of social situations involving unfamiliar people or possible scrutiny. This retrospective observational study reviewed published literature from PubMed and analyzed data from Reddit using social media listening (SML) to understand the lived experience of individuals with SAD. ...

Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.

AIMS: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repaired tetralogy of Fallot (TOF), but access to CMR i...

Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains in...

Integrative Multiomics and Drug Sensitivity Profiling Reveal Potential Biomarkers and Therapeutic Strategies in Pediatric Solid Tumors.

UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. ...

Predicting macrosomia and low birth weight with interpretable machine learning.

Abnormal birth weight, including macrosomia and low birth weight, constitutes a significant global health burden associated with both immediate neonat...

Total Nasal Reconstruction Redefined: Classic Craft Meets Microsurgical Innovation.

The authors illustrate a unique case of total nasal reconstruction that successfully combined historical reconstructive techniques with modern microsu...

Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcare.

OBJECTIVES: To develop and validate a tool for standardised quality assessment of data-driven algorithms in healthcare, focusing on the underlying dat...

Psychopathology profiles and longitudinal correlates of nonsuicidal self-injury in youth: a machine-learning approach.

Nonsuicidal self-injury (NSSI) in youth is clinically heterogeneous. We aimed to identify distinct psychopathology-based profiles among children and a...

Performance Evaluation of a Commercial Deep Learning Software for Detecting Intracranial Hemorrhage in a Pediatric Population.

This study evaluates a commercially available AI tool (Aidoc) for intracranial hemorrhage (ICH) detection-originally trained on adults-in pediatric pa...

Knowledge-Augmented Patient Network Embedding-Based Dynamic Model Selection for Predictive Analysis of Pediatric Drug-Induced Liver Injury.

OBJECTIVE: To address the challenges of developing machine learning frameworks for Electronic Health Records (EHRs)-based predictive tasks, such as th...

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that r...

Observer: creation of a novel multimodal dataset for outpatient care research.

OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprising videotaped outpatient visits, electronic health...

Pubertal Hormones and the Early Adolescent Female Brain: A Multimodality Brain MRI Study.

Puberty is a critical developmental process that is associated with changes in pubertal (or steroid) hormone levels, which are believed to influence a...

Artificial Intelligence-Assisted Clinical Decision Support System in Telemedical Wound Care: A Randomized Controlled Trial.

BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered b...

Moving toward equitable juvenile justice risk assessments for adolescents: Considering clinical, community, and statistical fairness.

Risk assessments are often mandated within the juvenile justice system (JJS). Yet, it is unclear whether these protocols reflect equitable clinical to...

Ethics Education in Neonatology: Integrating Theory, Multimodal Methods, and AI Innovation.

This review examines current approaches to ethics education in neonatal-perinatal medicine (NPM), integrating adult learning theory, diverse teaching ...

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitting corneal topography patterns and predict axial l...

Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the mechanisms driving its progression to severe disease...

Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.

The outcomes of children with aplastic anemia receiving cyclosporine monotherapy vary significantly in terms of mortality risk; therefore, a prognosti...