Pediatrics

Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI...

Evaluation of Different Learning Algorithms of Neural Networks for Drug Dosing Recommendations in Pediatrics.

Publicly accessible databases with evidence-based information on drug dosages for children and adole...

Integrating Socially Assistive Robots into Japanese Nursing Care.

This paper presents experiences of integrating assistive robots in Japanese nursing care through sem...

Investigating the Barriers to Physician Adoption of an Artificial Intelligence- Based Decision Support System in Emergency Care: An Interpretative Qualitative Study.

The development of artificial intelligence (AI) systems to support diagnostic decision-making is rap...

Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies.

The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. Howeve...

Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.

Augmented intelligence in pediatric anesthesia and pediatric critical care.

PURPOSE OF REVIEW: Acute care technologies, including novel monitoring devices, big data, increased ...

Development of an Alarm Algorithm, With Nanotechnology Multimodal Sensor, to Predict Impending Infusion Failure and Improve Safety of Peripheral Intravenous Catheters in Neonates.

BACKGROUND: Peripheral intravenous catheters connected to an infusion pump are necessary for the del...

Rigid Cranial Fixation for Robot-Assisted Stereoelectroencephalography in Toddlers: Technical Considerations.

BACKGROUND: Stereoelectroencephalography (sEEG) using depth electrodes has become a mainstay of pedi...

Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus.

PURPOSE: Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the ...

Recent developments in pediatric retina.

PURPOSE OF REVIEW: Pediatric retina is an exciting, but also challenging field, where patient age an...

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.

Artificial intelligence (AI) is a broad field of computational science that includes many subsets. T...

Artificial intelligence in sleep medicine: background and implications for clinicians.

Polysomnography remains the cornerstone of objective testing in sleep medicine and results in massiv...

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.

IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow stat...

Regulatory oversight, causal inference, and safe and effective health care machine learning.

In recent years, the applications of Machine Learning (ML) in the health care delivery setting have ...

[Artificial intelligence in pediatric surgery : Present and future].

BACKGROUND: Artificial intelligence, automatization and digital transformation increasingly dominate...

Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack co...

Artificial intelligence in pediatrics.

Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

To evaluate the clinical benefits of implementing pharmacogenomics testing for Chinese pediatric pa...

Commentary: Pediatric eye screening - Reaching the unreached.

Identifying opioid misuse among adolescents: Is the answer hiding in plain sight?