Pediatrics

Evaluation of an artificial intelligence noise reduction tool for conventional X-ray imaging - a visual grading study of pediatric chest examinations at different radiation dose levels using anthropomorphic phantoms.

BACKGROUND: Noise reduction tools developed with artificial intelligence (AI) may be implemented to ...

Point-of-Care Testing: The Convergence of Innovation and Accessibility in Diagnostics.

Over the years, the evolution of point-of-care testing (POCT) has been driven by technological advan...

Ethics of Artificial Intelligence in Medicine and Ophthalmology.

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...

Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure.

Heart failure (HF) ranks among the foremost causes of mortality globally, exhibiting particularly h...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

Systems-level Insights to Improve Prenatal Detection of Congenital Heart Disease: Emotional Intelligence Today, Artificial Intelligence Tomorrow.

Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.

BACKGROUND: Short stature is a prevalent pediatric endocrine disorder for which early detection and ...

Special Issue on CDS Failures: Performance Degradation between Development and Deployment of a Predictive Model for Central-Line Associated Blood Stream Infections in Hospitalized Children.

BACKGROUND: Central line-associated bloodstream infections (CLABSIs) are associated with substantial...

Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database.

BACKGROUND: Accurate mortality risk prediction is crucial for effective cardiovascular risk manageme...

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies.

BACKGROUND: Converging evidence indicates an adolescent mental health crisis in Western societies th...

Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.

BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many po...

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study.

BACKGROUND: Domestic violence (DV) is a significant public health concern affecting the physical and...

[Progress in method development and application of distributed learning for estimation of epidemiological effect].

To systematically review the progress in the method development and application of distributed lear...

Long-Term Neonatal EEG Modeling with DSP and ML for Grading Hypoxic-Ischemic Encephalopathy Injury.

Hypoxic-Ischemic Encephalopathy (HIE) occurs in patients who experience a decreased flow of blood an...

[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].

The chronic cardiac deficiency continues to be one of the leading health care problems requiring inn...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

Reinforcement learning for automated method development in liquid chromatography: insights in the reward scheme and experimental budget selection.

Chromatographic problem solving, commonly referred to as method development (MD), is hugely complex,...

Recent advances in multimodal approaches for investigating placental development and related diseases.

The placenta is a vital organ that supports fetal growth and pregnancy maintenance. Its dysfunction ...

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range ...

Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.

The low proton density and high signal decay rate of pulmonary tissue have previously hampered the a...

Parental education in pediatric dysphagia: A comparative analysis of three large language models.

OBJECTIVES: This study evaluates the effectiveness of three widely used large language models (LLMs)...