AIMC Topic: Child

Clear Filters Showing 1501 to 1510 of 3433 articles

Single-port robot-assisted laparoscopic pyeloplasty in an infant: A video case report with 9 months follow up.

Journal of pediatric urology
INTRODUCTION: Single-port robot-assisted laparoscopic surgery is a breakthrough in the field of minimally invasive surgery. However, it is currently only applicable to older children due to the limitation of operating space. Here, we report a case of...

Artificial intelligence-based clinical decision support in pediatrics.

Pediatric research
Machine learning models may be integrated into clinical decision support (CDS) systems to identify children at risk of specific diagnoses or clinical deterioration to provide evidence-based recommendations. This use of artificial intelligence models ...

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities.

Pediatric research
The rise of machine learning in healthcare has significant implications for paediatrics. Long-term conditions with significant disease heterogeneity comprise large portions of the routine work performed by paediatricians. Improving outcomes through d...

Robot-Assisted Resection of Intestinal Duplication in Children.

Journal of laparoendoscopic & advanced surgical techniques. Part A
Intestinal duplication is the most common type of alimentary tract duplications in childhood. Laparoscopic-assisted surgery has become the main surgical procedure, but robot-assisted resection has rarely been reported; the aim of this study was to r...

Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.

Pediatric nephrology (Berlin, Germany)
BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting the risk and timing of chronic kidney disease (CKD) progression for boys with posterior urethral va...

Laparoscopic and robot-assisted ureterocalicostomy for treatment of primary and recurrent pelvi-ureteric junction obstruction in children: a multicenter comparative study with laparoscopic and robot-assisted Anderson-Hynes pyeloplasty.

International urology and nephrology
PURPOSE: This multi-institutional study aimed to assess the outcomes of laparoscopic ureterocalicostomy (LUC) and robot-assisted laparoscopic ureterocalicostomy (RALUC) and compare them with laparoscopic pyeloplasty (LP) and robot-assisted laparoscop...

ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification.

Computers in biology and medicine
Acute Lymphoblastic Leukemia (ALL) is cancer in which bone marrow overproduces undeveloped lymphocytes. Over 6500 cases of ALL are diagnosed every year in the United States in both adults and children, accounting for around 25% of pediatric cancers, ...

Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.

Scientific reports
The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage prediction model in the decisions of emergency physicians regarding ordering head computed tomography (CT) scans. We developed a deep-learning model for pred...

The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric.

BioMed research international
Pneumonia is a common lung disease that is the leading cause of death worldwide. It primarily affects children, accounting for 18% of all deaths in children under the age of five, the elderly, and patients with other diseases. There is a variety of i...