AI Medical Compendium Topic:
Child

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Can Machine Learning Be Better than Biased Readers?

Tomography (Ann Arbor, Mich.)
Training machine learning (ML) models in medical imaging requires large amounts of labeled data. To minimize labeling workload, it is common to divide training data among multiple readers for separate annotation without consensus and then combine th...

The Effects of Social Presence and Familiarity on Children-Robot Interactions.

Sensors (Basel, Switzerland)
In children-robot interactions, an impression of a robot's "social presence" (i.e., an interactive agent that feels like a person) links positively to an improved relationship with the robot. However, building relationships takes many exposures, and ...

High performance for bone age estimation with an artificial intelligence solution.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to compare the performance of an artificial intelligence (AI) solution to that of a senior general radiologist for bone age assessment.

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study.

The Lancet. Digital health
BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available expert...

Avascular midline oropharyngeal anatomy allows for expanded indications for transoral robotic surgery in pediatric patients.

Journal of robotic surgery
Transoral robotic surgery (TORS) in children is in its infancy, and indications have been primarily limited to lingual tonsillar hypertrophy and superficial mucosal lesions. However, the relatively avascular channel of the midline posterior tongue, v...

Revisiting the video deficit in technology-saturated environments: Successful imitation from people, screens, and social robots.

Journal of experimental child psychology
The "video deficit" is a well-documented effect whereby children learn less well about information delivered via a screen than the same information delivered in person. Research suggests that increasing social contingency may ameliorate this video de...

A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.

International journal of legal medicine
Dental radiographies have been used for many decades for estimating the chronological age, with a view to forensic identification, migration flow control, or assessment of dental development, among others. This study aims to analyse the current appli...

Automatic sleep staging for the young and the old - Evaluating age bias in deep learning.

Sleep medicine
BACKGROUND: Various deep-learning systems have been proposed for automated sleep staging. Still, the significance of age-specific underrepresentation in training data and the resulting errors in clinically used sleep metrics are unknown.

Robot-assisted Laparoscopic Urethral Diverticulectomy in a Pediatric Patient.

Urology
Urethral diverticula are rare in children, especially in the absence of trauma. We present a case of a 9-year-old girl with pain with micturition, incontinence, and recurrent urinary tract infections. Diagnosis of urethral diverticulum was made by ma...