Pediatrics

Commentary: Is machine learning needed to understand that heart failure is a risk in adult congenital cardiac surgery?

Update on ethical aspects in clinical research: Addressing concerns in the development of new AI tools in radiology.

The analysis of ethical aspects in clinical research has always been a challenge and has required co...

Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes.

The purpose of this study was to develop a fully automated and reliable volumetry of the cerebellum ...

Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study.

Retinal hemorrhages in pediatric patients can be a diagnostic challenge for ophthalmologists. These ...

Quantum computing and machine learning for Arabic language sentiment classification in social media.

With the increasing amount of digital data generated by Arabic speakers, the need for effective and ...

Safety and immunogenicity of varied doses of R21/Matrix-M™ vaccine at three years follow-up: A phase 1b age de-escalation, dose-escalation trial in adults, children, and infants in Kilifi-Kenya.

BACKGROUND: Falciparum malaria remains a global health problem. Two vaccines, based on the circumspo...

Electroencephalographic abnormalities in children with type 1 diabetes mellitus: a prospective study.

BACKGROUND/AIM: The aim herein was to investigate epileptiform discharges on electroencephalogram (E...

AI Model Versus Clinician Otoscopy in the Operative Setting for Otitis Media Diagnosis.

Prior work has demonstrated improved accuracy in otitis media diagnosis based on otoscopy using arti...

An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: Development and external validation of ICU-ISPM.

Ischemic stroke (IS) is a common and severe condition that requires intensive care unit (ICU) admiss...

Evaluating the Use of a Robot in a Hematological Intensive Care Unit: A Pilot Study.

The aim of the SYRIACA project was to test the capability of a social robot to perform specific task...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence.

Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known ab...

Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices.

Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) have ushered in a new...

Pediatric Psoriasis Associated with Van Wyk Grumbach Syndrome: A case report.

INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in ...

A Novel Extensible Continuum Robot with Growing Motion Capability Inspired by Plant Growth for Path-Following in Transoral Laryngeal Surgery.

This article presents a novel extensible continuum robot (ECR) with growing motion capability for im...

Normal intellectual ability and hyperprolactinemia as unique clinical manifestations of congenital hypothyroidism: A case report and review of hypotheses.

Congenital hypothyroidism is the deficiency of thyroid hormone in infants and hyperprolactinemia is ...

Infant cries convey both stable and dynamic information about age and identity.

What information is encoded in the cries of human babies? While it is widely recognized that cries c...

Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

BACKGROUND: Artificial intelligence (AI) has the potential to improve prenatal detection of congenit...

Impact of heart failure on reoperation in adult congenital heart disease: An innovative machine learning model.

OBJECTIVES: The study objectives were to evaluate the association between preoperative heart failure...

Automated measurements of interscrew angles in vertebral body tethering patients with deep learning.

BACKGROUND CONTEXT: Vertebral body tethering is the most popular nonfusion treatment for adolescent ...

Revolutionizing drug formulation development: The increasing impact of machine learning.

Over the past few years, the adoption of machine learning (ML) techniques has rapidly expanded acros...

Clinical Uptake of Pediatric Exoskeletons: Pilot Study Using the Consolidated Framework for Implementation Research.

OBJECTIVE: While the design and clinical evidence base of robot-assisted gait training devices has b...