An artificial intelligence computer-vision algorithm to triage otoscopic images from Australian Aboriginal and Torres Strait Islander children

AR Habib, G Crossland, H Patel, E Wong… - Otology & …, 2022 - journals.lww.com
… sampled from Aboriginal and Torres Strait Islander children from rural and remote areas …
non-Indigenous children (1,4) . Most Aboriginal and Torres Strait Islander children have had …

Prevalence of vision conditions in children in a very remote Australian community

SA Read, S Hopkins, AA Black, SA Bentley… - Clinical and …, 2023 - Taylor & Francis
Islander children, but a significant proportion of children were found with refractive error and
binocular vision … A high proportion of vision conditions were reported to be uncorrected, and …

Ocular biometry measures and their correlation with refractive error in Aboriginal and Torres Strait Islander children

RA Cox, SA Read, S Hopkins… - Clinical and Experimental …, 2023 - Taylor & Francis
Islander children was significantly less hyperopic than non-Indigenous children (Aboriginal
and Torres Strait Islander: +… and Torres Strait Islander children and non-Indigenous children. …

Deep learning approach for screening autism spectrum disorder in children with facial images and analysis of ethnoracial factors in model development and …

A Lu, M Perkowski - Brain Sciences, 2021 - mdpi.com
… This study bridges the gap of applying computer vision in ASD screening ASD in children
between children with ASD and TD children. We think that this computer vision solution will …

Influence of culture on visual working memory: Evidence of a cultural response bias for remote Australian Indigenous children

MR Freire, K Pammer - Journal of Cultural Cognitive Science, 2020 - Springer
… With this in mind, we believe that the ability of the children of Wadeye to competently undertake
the computer-based change detection tasks is indicative of their resilience, tenacity, and …

[HTML][HTML] Training and profiling a pediatric facial expression classifier for children on mobile devices: machine learning study

A Banerjee, OC Mutlu, A Kline, S Surabhi… - JMIR formative …, 2023 - formative.jmir.org
… Notably, Li et al [80] built a robot-tablet system that offered children the opportunity to play
… Using computer vision and reinforcement learning techniques to predict a child with ASD’s …

“It's complicated”: Negotiating accessibility and (mis) representation in image descriptions of race, gender, and disability

CL Bennett, C Gleason, MK Scheuerman… - Proceedings of the …, 2021 - dl.acm.org
Computer vision might similarly rely on explicitly labeled … or low vision alone run the gamut
from computer vision applied to … , like those had with children as Hoang explained, ‘‘Any time …

[图书][B] Technologies for children

M Fleer - 2023 - books.google.com
… is a comprehensive guide to teaching design and digital technologies to children from birth
… , pre-schoolers and primary-aged children. The third edition includes expanded content on …

Digital Child Ethics Toolkit: Ethical Considerations for Digital Childhoods Research

K Mannell, A Zhao, P Amery, T Apps, F Bircanin… - 2024 - eprints.qut.edu.au
… for Indigenous self-determination and leadership, and research impact, value, sustainability
and accountability when conducting research with Aboriginal and Torres Strait Islander

Telehealth for Indigenous Children Worldwide: A Scoping Review

N Kabbes, A Bugra, H Wissanji, E Osmanlliu - Journal of Pediatric Surgery, 2024 - Elsevier
Islander children presenting to an urban primary healthcare service [30] Australia Mixed
methods study (cross-sectional and qualitative studies) Aboriginal and Torres Strait Islander