AIMC Topic: Developmental Disabilities
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Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study.
Journal of medical Internet research
Apr 24, 2019
BACKGROUND: Autism spectrum disorder (ASD) is currently diagnosed using qualitative methods that measure between 20-100 behaviors, can span multiple appointments with trained clinicians, and take several hours to complete. In our previous work, we de...
Automatic real-time gait event detection in children using deep neural networks.
PloS one
Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
Metabolic profile of children with extrahepatic portal vein obstruction undergoing meso-Rex bypass.
The Journal of surgical research
Dec 22, 2017
BACKGROUND: Extrahepatic portal vein obstruction (EHPVO) in children is often associated with growth restriction, which improves after the restoration of portal venous flow with a meso-Rex bypass, but the physiologic mechanism is unknown. The purpose...
A comparison of the efficacy of weight-shift vs. joystick control of a robotic mobility device by infants ages 5 to 10 months.
Assistive technology : the official journal of RESNA
Feb 2, 2017
The onset of crawling in infants contributes to cognitive, perceptual, social, and emotional development. Conversely, infants with motor impairment that delays or prevents autonomous mobility often have associated developmental delays. Evidence sugge...
Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data.
PloS one
Oct 5, 2015
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in each individual patient. This problem is especially relevant for Copy Number Variants (CNVs), which can...
Automated Evaluation of D-Score for Facial Dysmorphism Analysis in Central African Children With Developmental Disorders.
Annals of human genetics
Jul 1, 2025
INTRODUCTION: Dysmorphism is an important characteristic, but its evaluation is largely subjective. A good clinical assessment (dysmorphism) can facilitate a more accurate and efficient diagnosis. We therefore evaluated an automated artificial intell...
Detection of pediatric developmental delay with machine learning technologies.
PloS one
Jan 1, 2025
OBJECTIVE: Accurate identification of children who will develop delay (DD) is challenging for therapists because recent studies have reported that children who underwent early intervention achieved more favorable outcomes than those who did not. In t...
Benchmarking Automatic Speech Recognition Technology for Natural Language Samples of Children With and Without Developmental Delays.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Natural language sampling (NLS) offers rich insights into real-world speech and language usage across diverse groups; yet, human transcription is time-consuming and costly. Automatic speech recognition (ASR) technology has the potential to revolution...
Chaos theory and artificial intelligence may provide insights on disability outcomes.
Developmental medicine and child neurology
Oct 1, 2019
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