Pediatrics

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

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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will requir...

Pediatric quality measures: The leap from process to outcomes.

Value-based reimbursement arrangements tie financial incentives to achieving quality measures to ens...

Assessing outcomes of ear molding therapy by health care providers and convolutional neural network.

Ear molding therapy is a nonsurgical technique to correct certain congenital auricular deformities. ...

Deep learning models for benign and malign ocular tumor growth estimation.

Relatively abundant availability of medical imaging data has provided significant support in the dev...

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods.

The analog methods used in the clinical assessment of the patient's chronological age are subjective...

Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (L...

Literature Mining and Mechanistic Graphical Modelling to Improve mRNA Vaccine Platforms.

RNA vaccines represent a milestone in the history of vaccinology. They provide several advantages ov...

Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.

BACKGROUND: Research on the integration of artificial intelligence (AI) into community-based primary...

NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth.

BACKGROUND: During development or regeneration, neurons extend processes (i.e., neurites) via mechan...

Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.

OBJECTIVE: To construct a prediction model for optimal tracheal tube depth in pediatric patients usi...

Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective.

Artificial intelligence (AI) applications for chest radiography and chest CT are among the most deve...

Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm.

Since the reform and opening up, China's regional economy has developed rapidly. However, due to dif...

Personal Resilience Can Be Well Estimated from Heart Rate Variability and Paralinguistic Features during Human-Robot Conversations.

Mental health is as crucial as physical health, but it is underappreciated by mainstream biomedical ...

Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs.

Unconventional resources have recently gained a lot of attention, and as a consequence, there has be...

Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why Is It Different?

Innovations in health care are growing exponentially, resulting in improved quality of and access to...

The Increasing Centrality of Robotic Technology in the Context of Nursing Care: Bioethical Implications Analyzed through a Scoping Review Approach.

At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physic...

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