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26 gen 2023 · Nature Medicine - A smartphone-based system, designed to induce a steady gaze in children using cartoon-like video stimuli, can identify visually impaired children across a wide range of...
- Extended Data Fig. 4 Performance of The Detection Model at The Clip Level
Extended Data Fig. 4 Performance of The Detection Model at...
- Extended Data Fig. 1 The APP for Data Collection
Extended Data Fig. 1 The APP for Data Collection - Early...
- Extended Data Fig. 3 Development of Deep Learning Models of The AIS System
Extended Data Fig. 3 Development of Deep Learning Models of...
- Metrics
Metrics - Early detection of visual impairment in young...
- Full Size Table
Full Size Table - Early detection of visual impairment in...
- Full Size Image
Full Size Image - Early detection of visual impairment in...
- Extended Data Fig. 4 Performance of The Detection Model at The Clip Level
2 ott 2023 · Nature Medicine - In a prospective study, an autism screening app administered using a tablet computer to young children showed high diagnostic accuracy and may facilitate a scalable approach...
A study of 475 toddlers (17–36 months old) using an app that displays stimuli to elicit autism signs and quantifies them via computer vision and machine learning. The app shows high accuracy and sensitivity for autism screening, especially for children of color and girls.
3 ott 2023 · Here we report findings from a multiclinic, prospective study assessing the accuracy of an autism screening digital application (app) administered during a pediatric well-child visit to 475 (17-36 months old) children (269 boys and 206 girls), of which 49 were diagnosed with autism and 98 were diagnosed with developmental delay without autism.
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and ocular movements, can assist ophthalmic practice, ….
23 ott 2023 · A tablet-based app called SenseToKnow can detect early signs of autism spectrum disorder with high accuracy. The app records eye gaze, facial expressions, attention, and other behaviors related to ASD and combines them with machine learning.
8 set 2022 · Our study demonstrates the feasibility of using machine learning models and health claims data to identify children with ASD at a very young age. It is deemed a promising approach for monitoring ASD risk in the general children population and early detection of high-risk children for targeted screening.
