Pediatrics

Prioritizing educational initiatives on emerging technologies for Italian pediatricians: bibliometric review and a survey.

BACKGROUND: Emerging technologies have demonstrated outstanding potential in improving healthcare, yet their full integration remains a challenge for all medical specialties, including pediatrics. To support the swift implementation of technologies, we identified the current trends through a bibliometric review, and we conducted a survey on Italian pediatricians to gauge educational needs and will...

Interpretable artificial intelligence-assisted embryo selection improved single-blastocyst transfer outcomes: a prospective cohort study.

RESEARCH QUESTION: What is the pregnancy and neonatal outcomes of an interpretable artificial intelligence (AI) model for embryo selection in a prospective clinical trial?

Infant death prediction using machine learning: A population-based retrospective study.

BACKGROUND: Despite declines in infant death rates in recent decades in the United States, the national goal of reducing infant death has not been rea...

Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.

Health-care systems, food supply chains, and society in general are threatened by the inexorable rise of antimicrobial resistance. This threat is driv...

Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model.

BACKGROUND AND PURPOSE: An MRI of the fetus can enhance the identification of perinatal developmental disorders, which improves the accuracy of ultras...

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea.

Automatic deep-learning models used for sleep scoring in children with obstructive sleep apnea (OSA) are perceived as black boxes, limiting their impl...

Identification of growth years for Puerariae Thomsonii Radix based on hyperspectral imaging technology and deep learning algorithm.

Puerariae Thomsonii Radix (PTR) is not only widely used in disease prevention and treatment but is also an important raw material as a source of starc...

Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity.

Several studies demonstrate that the structure of the brain increases in hierarchical complexity throughout development. We tested if the structure of...

Understanding the impact of digital technology on the well-being of older immigrants and refugees: A scoping review.

BACKGROUND: The fast-paced development of digital technologies in the areas of social media, pet robots, smart homes, and artificial intelligence, amo...

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases th...

Effectiveness and Users' Perceptions of Upper Extremity Exoskeletons and Robot-Assisted Devices in Children with Physical Disabilities: Systematic Review.

AIM: Systematically determine the effectiveness and users' perceptions of upper extremity (UE) exoskeletons and robot-assisted devices for pediatric r...

Artificial intelligence in foot and ankle surgery: current concepts.

The twenty-first century has proven that data are the new gold. Artificial intelligence (AI) driven technologies might potentially change the clinical...

An investigation of how perceived smart tourism technologies affect tourists' well-being in marine tourism.

Tourism industry is the first of the five happiness industries, playing a crucial role in enhancing people's well-being and happiness. Its high-qualit...

Beyond the : Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT.

Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach.

Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their lo...

A longitudinal observational study on the epidemiology of painful procedures and sucrose administration in hospitalized preterm neonates.

Although sucrose is widely administered to hospitalized infants for single painful procedures, total sucrose volume during the entire neonatal intensi...

Robot-assisted laparoscopic pyeloplasty is a valid option for ureteropelvic junction obstruction repair in adults with congenital renal abnormalities: a case series study.

BACKGROUND: Congenital renal anomalies are rare but may be associated with obstruction of the ureteropelvic junction. Given the rarity of simultaneous...

Artificial Intelligence (AI) in pediatric endocrinology.

Artificial Intelligence (AI) is integrating itself throughout the medical community. AI's ability to analyze complex patterns and interpret large amou...

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast Cancer Patients.

INTRODUCTION: Artificial intelligence (AI) is a milestone for human technology. In medicine, AI is set to play an important role as we progress into a...

Cytogenetics and genomics in pediatric acute lymphoblastic leukaemia.

The last five decades have witnessed significant improvement in diagnostics, treatment and management of children with acute lymphoblastic leukaemia (...