Pediatrics

RASPELD to Perform High-End Screening in an Academic Environment toward the Development of Cancer Therapeutics.

The identification of compounds for dissecting biological functions and the development of novel dru...

Quiet sleep detection in preterm infants using deep convolutional neural networks.

OBJECTIVE: Neonates spend most of their time asleep. Sleep of preterm infants evolves rapidly throug...

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-s...

Legal challenges for the implementation of advanced clinical digital decision support systems in Europe.

UNLABELLED: Systems based on artificial intelligence and machine learning that facilitate decision m...

Robot-guided pediatric stereoelectroencephalography: single-institution experience.

OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epilept...

Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms.

Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac ...

Robotic TMS mapping of motor cortex in the developing brain.

BACKGROUND: The human motor cortex can be mapped safely and painlessly with transcranial magnetic st...

Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcom...

Antibacterial activity and its mechanisms of a recombinant Funme peptide against Cronobacter sakazakii in powdered infant formula.

Cronobacter sakazakii (Cs) is a typical foodborne bacterium that infect powdered infant formula (PIF...

Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks.

OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcin...

General Method for the Identification of Crystal Faces Using Raman Spectroscopy Combined with Machine Learning and Application to the Epitaxial Growth of Acetaminophen.

Crystal morphology is one of the key crystallographic characteristics that governs the macroscopic p...

Re: Pediatric Robot-Assisted Redo Pyeloplasty with Buccal Mucosa Graft: A Novel Technique.

Big data and machine learning in critical care: Opportunities for collaborative research.

The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...

Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.

OBJECTIVE: Radiographic bone age assessment (BAA) is used in the evaluation of pediatric endocrine a...

Serum Transforming Growth Factor-Beta 1 Level in Egyptian Systemic Lupus Erythematosus Patients.

OBJECTIVES: This study aims to assess the role of transforming growth factor-beta 1 (TGF-β1) in syst...

PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions.

Proinflammatory cytokines have the capacity to increase inflammatory reaction and play a central rol...

A robot-based gait training therapy for pediatric population with cerebral palsy: goal setting, proposal and preliminary clinical implementation.

BACKGROUND: The use of robotic trainers has increased with the aim of improving gait function in pat...

Enhanced neonatal surgical site infection prediction model utilizing statistically and clinically significant variables in combination with a machine learning algorithm.

BACKGROUND: Machine-learning can elucidate complex relationships/provide insight to important variab...

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed linear inverse ...

Utilizing Big Data in Cancer Care.

Clinical research has boomed over the past decade, with the development of multiple clinical dataset...

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.

The safety of medication use has been a priority in the United States since the late 1930s. Recently...