AIMC Topic: Child, Preschool

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Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

Clinical hemorheology and microcirculation
BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease.

Robot-assisted thoracoscopic surgery for mediastinal tumours in children: a single-centre retrospective study of 149 patients.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
OBJECTIVES: The purpose of this retrospective study was to summarize our experience in performing robot-assisted thoracoscopic surgery (RATS) for mediastinal tumours in children to investigate its safety and feasibility.

Harnessing the Power of Movement: A Body-Weight Support System & Assistive Robot Case Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Young children with motor disabilities face extra obstacles to engaging in movement and initiating social interaction. A body-weight support harness system (BWSS) allows a child to take steps, explore the environment, and interact with people and obj...

Using Artificial Intelligence to Identify the Associations of Children's Performance of Coloring, Origami, and Copying Activities With Visual-Motor Integration.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
IMPORTANCE: Performance of coloring, origami, and copying activities reflects children's visual-motor integration (VMI), but the levels of association remain unclear.

[Research on multi-class orthodontic image recognition system based on deep learning network model].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. A total of 35 000 clinical orthodontic images were collected in the Department o...

AgeAnno: a knowledgebase of single-cell annotation of aging in human.

Nucleic acids research
Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell le...

A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Otitis media with effusion (OME) is one of the most common causes of acquired conductive hearing loss (CHL). Persistent hearing loss is associated with poor childhood speech and language development and other adverse consequence. However,...

Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.

Studies in health technology and informatics
Infant mortality is characterized by the death of young children under the age of one, and it is an issue affecting millions of children in the world. The objective of this article is to employ concepts of knowledge discovery in databases, specifical...

Robotic excision of vaginal pouch in ovotesticular disorder of sexual development.

International braz j urol : official journal of the Brazilian Society of Urology
PURPOSE: Ovotesticular disorder of sexual development (DSD) is the rarest of DSDs with an incidence of 1:20000 (1). Management of vaginal pouches in such cases is warranted for symptomatic presentations and laparoscopy is considered the gold standard...