AIMC Topic: Child

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Application of deep learning and image processing analysis of photographs for amblyopia screening.

Indian journal of ophthalmology
PURPOSE: Photo screeners and autorefractors have been used to screen children for amblyopia risk factors (ARF) but are limited by cost and efficacy. We looked for a deep learning and image processing analysis-based system to screen for ARF.

Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

The journal of trauma and acute care surgery
BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI) but is expensive and risks radiation exposure. The Pediatric Emergency Care Applied Research Network (PECARN) model identifies children at low risk ...

Evaluation of Different Learning Algorithms of Neural Networks for Drug Dosing Recommendations in Pediatrics.

Studies in health technology and informatics
Publicly accessible databases with evidence-based information on drug dosages for children and adolescents are not available in Germany. In previous work a prototypical web-based online platform for pediatric dosing recommendation has been developed....

Augmented intelligence in pediatric anesthesia and pediatric critical care.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Acute care technologies, including novel monitoring devices, big data, increased computing capabilities, machine-learning algorithms and automation, are converging. This enables the application of augmented intelligence for improve...

Rigid Cranial Fixation for Robot-Assisted Stereoelectroencephalography in Toddlers: Technical Considerations.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Stereoelectroencephalography (sEEG) using depth electrodes has become a mainstay of pediatric epilepsy surgery. This technique relies on rigid cranial fixation using skull pins, which forms the basis for accurate stereotactic navigation. ...

Outcomes of a Robot-Assisted Social-Emotional Understanding Intervention for Young Children with Autism Spectrum Disorders.

Journal of autism and developmental disorders
This study is a randomized control trial aimed at testing the role of a human-assisted social robot as an intervention mediator in a socio-emotional understanding protocol for children with autism spectrum disorders (ASD). Fourteen children (4-8 year...

Recent developments in pediatric retina.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Pediatric retina is an exciting, but also challenging field, where patient age and cooperation can limit ease of diagnosis of a broad range of congenital and acquired diseases, inherited retinal degenerations are mostly untreatable...