Pediatrics

Humoral Immune Responses after an Omicron-Adapted Booster BNT162b2 Vaccination in Patients with Lymphoid Malignancies.

To accommodate waning COVID-19 vaccine immunity to emerging SARS-CoV-2 variants, variant-adapted mRN...

Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow.

Patient care workflows are highly multimodal and intertwined: the intersection of data outputs provi...

Anesthesia management experience for pediatric day-case PDA ligation under thoracoscopy assisted by a robot: a retrospective study.

BACKGROUND: To summarize the anesthesia management experience for pediatric day-case patent ductus a...

Developing a model to predict neonatal respiratory distress syndrome and affecting factors using data mining: A cross-sectional study.

One of the major challenges that hospitals and clinicians face is the early identification of newbo...

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...

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)...

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...

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...

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...

Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.

PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alte...

Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification...

Even deeper problems with neural network models of language.

We recognize today's deep neural network (DNN) models of language behaviors as engineering achieveme...