Pediatrics

Implications of Pediatric Artificial Intelligence Challenges for Artificial Intelligence Education and Curriculum Development.

Several radiology artificial intelligence (AI) courses are offered by a variety of institutions and ...

Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...

StethAid: A Digital Auscultation Platform for Pediatrics.

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial...

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat.

When considering options for future foods, cell culture approaches are at the fore, however, culture...

Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.

. Hydrocephalus is the leading indication for pediatric neurosurgical care worldwide. Identification...

Deep learning for diffusion in porous media.

We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Tw...

A narrative review of the mechanisms and consequences of intermittent hypoxia and the role of advanced analytic techniques in pediatric autonomic disorders.

Disorders of autonomic functions are typically characterized by disturbances in multiple organ syste...

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units.

OBJECTIVE: To describe the challenges and perspectives of the automation of pain assessment in the N...

Potential and risks of artificial intelligence models: Common in medicine practice and special in pediatric urology.

Pediatric Single-Incision Robotic Cholecystectomy: A 6-Year Update from a Single Institution.

In children, gallbladder disease has become more common due to the rise in childhood obesity and su...

The evolution and development of a robotic acute care surgery program.

BACKGROUND: Acute care surgeons perform more than 850,000 operations annually on emergency general s...

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past ...

A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.

OBJECTIVE: The objective of this study is to construct a novel clinical risk stratification for over...

Understanding computational dialogue understanding.

In this paper, we first explain why human-like dialogue understanding is so difficult for artificial...

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexp...

Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful.

INTRODUCTION: Robot-assisted gait therapy is frequently used for gait therapy in children and adoles...

Pneumonia detection with QCSA network on chest X-ray.

Worldwide, pneumonia is the leading cause of infant mortality. Experienced radiologists use chest X-...

Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays.

In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...

Predicting congenital syphilis cases: A performance evaluation of different machine learning models.

BACKGROUND: Communicable diseases represent a huge economic burden for healthcare systems and for so...

Barriers and facilitators to physical activity and further digital exercise intervention among inactive British adolescents in secondary schools: a qualitative study with physical education teachers.

BACKGROUND: Previous studies indicated that physical education programs in schools were unsuccessful...

Robotic approach to the uretero-vesical junction in children: An international multicentric retrospective study.

BACKGROUND: Robot-assisted approach to UVJ is getting more and more used in pediatric patients.