AIMC Topic: Child

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A Scoping Review of the Use of Robotics Technologies for Supporting Social-Emotional Learning in Children with Autism.

Journal of autism and developmental disorders
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectrum disorder. It examines the types of robotics technologies employed, their applications, and the ga...

Learning Curve in Robotic Stereoelectroencephalography: Single Platform Experience.

World neurosurgery
BACKGROUND: Learning curve, training, and cost impede widespread implementation of new technology. Neurosurgical robotic technology introduces challenges to visuospatial reasoning and requires the acquisition of new fine motor skills. Studies detaili...

Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.

The Journal of surgical research
INTRODUCTION: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature descri...

Increase in robot assisted operating room efficiency: A quality improvement study.

Journal of pediatric urology
INTRODUCTION: Pyeloplasties are time-sensitive, and the most common robot assisted intervention performed in pediatric urology. Early intervention is intended to avoid permanent loss of renal function with negative long-term effects if surgery is del...

Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.

European radiology
OBJECTIVES: To develop a dynamic nomogram containing radiomics signature and clinical features for estimating the overall survival (OS) of patients with medulloblastoma (MB) and design an automatic image segmentation model to reduce labor and time co...

Research Hotspots and Trends of Social Robot Interaction Design: A Bibliometric Analysis.

Sensors (Basel, Switzerland)
(1) Background: Social robot interaction design is crucial for determining user acceptance and experience. However, few studies have systematically discussed the current focus and future research directions of social robot interaction design from a b...

Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.

Academic radiology
RATIONALE AND OBJECTIVES: To evaluate the standalone performance of a deep learning (DL) based fracture detection tool on extremity radiographs and assess the performance of radiologists and emergency physicians in identifying fractures of the extrem...

A deep learning feature extraction-based hybrid approach for detecting pediatric pneumonia in chest X-ray images.

Physical and engineering sciences in medicine
Pneumonia is a disease caused by bacteria, viruses, and fungi that settle in the alveolar sacs of the lungs and can lead to serious health complications in humans. Early detection of pneumonia is necessary for early treatment to manage and cure the d...

Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.

AJR. American journal of roentgenology
Although primary lung cancer is rare in children, chest CT is commonly performed to assess for lung metastases in children with cancer. Lung nodule computer-aided detection (CAD) systems have been designed and studied primarily using adult training ...