Pediatrics

Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial.

Cross-validation remains a popular means of developing and validating artificial intelligence for he...

Design and Development of an Imitation Detection System for Human Action Recognition Using Deep Learning.

Human action recognition (HAR) is a rapidly growing field with numerous applications in various doma...

How do nurses work in chronic management in the age of artificial intelligence? development and future prospects.

AI is undeniably revolutionizing medical research and patient care across diverse fields. Chronic di...

Development of a web-based care networking system to support visiting healthcare professionals in the community.

BACKGROUND: The role of visiting health services has been proven to be effective in promoting the he...

BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric mus...

Robot-Assisted Transcanal Endoscopic Ear Surgery for Congenital Cholesteatoma.

Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic ...

Predicting COVID-19 pandemic waves including vaccination data with deep learning.

INTRODUCTION: During the recent COVID-19 pandemics, many models were developed to predict the number...

Single port (SP) robotic pyeloplasty in a pediatric patient.

We began using the da Vinci single port (SP) robot for pediatric urologic surgeries at our instituti...

Characterizing adjuvants' effects at murine immunoglobulin repertoire level.

Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has ...

Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy.

The Prechtl General Movements Assessment (GMA) is increasingly recognized for its role in evaluating...

Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.

BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS)...

Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study.

BACKGROUND: Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary int...

Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, una...

Retracted: Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

[This retracts the article DOI: 10.1155/2022/1817341.].

Effect of a 2-week interruption in methotrexate treatment on COVID-19 vaccine response in people with immune-mediated inflammatory diseases (VROOM study): a randomised, open label, superiority trial.

BACKGROUND: Methotrexate is the first-line treatment for immune-mediated inflammatory diseases and r...

Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management.

Applications of Artificial Intelligence in medical informatics solutions risk sharing have social va...

How well do rudimentary plasticity rules predict adult visual object learning?

A core problem in visual object learning is using a finite number of images of a new object to accur...

The Evolving Role of Machine Learning in the Analysis of Outcomes After Pediatric and Congenital Cardiac Surgery.

Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause...

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy.

INTRODUCTION: The externalizing disorders of attention deficit hyperactivity disorder (ADHD), opposi...

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.

OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to ide...