Enhanced detection of early Parkinson’ s disease through multi-sensor fusion on smartphone-based IoMT platforms DOI
Tongyue He, Junxin Chen,

M. Shamim Hossain

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102889 - 102889

Published: Dec. 1, 2024

Language: Английский

Navigating the Future of Psychiatry: A Review of Research on Opportunities, Applications, and Challenges of Artificial Intelligence DOI Creative Commons
Jake Linardon

Current Treatment Options in Psychiatry, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 17, 2025

Language: Английский

Citations

0
Digital phenotyping for mental health based on data analytics: A systematic literature review DOI
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho

et al.

Artificial Intelligence in Medicine, Journal Year: 2025, Volume and Issue: 163, P. 103094 - 103094

Published: March 1, 2025

Language: Английский

Citations

0
Autism Digital Phenotyping in Preschool‐ and School‐Age Children DOI

Vikram Aikat,

Kimberly L. H. Carpenter,

Pradeep Raj Krishnappa Babu

et al.

Autism Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

There is a critical need for scalable and objective tools autism screening outcome monitoring, which can be used alongside traditional caregiver clinical measures. To address this need, we developed SenseToKnow, tablet- or smartphone-based digital phenotyping application (app), uses computer vision touch data to measure several autism-related behavioral features, such as social attention, facial head movements, visual-motor skills. Our previous work demonstrated that the SenseToKnow app accurately detect quantify signs of in 18-40-month-old toddlers. In present study, administered on an iPad 149 preschool- school-age children (45 neurotypical 104 autistic) between 3 8 years age. Results revealed significant group differences autistic terms remained after controlling sex Repeat administration with subgroup stability individual phenotypes. Examining correlations Vineland Adaptive Behavior Scales phenotypes, found higher levels communication, daily living, socialization, motor, adaptive skills exhibited attention coordinated gaze speech, less frequent complexity overall lower blink rates, visual motor skills, demonstrating convergent validity features App were also significantly correlated ratings Social Responsiveness Scale. These results suggest accessible, scalable, tool behaviors children.

Language: Английский

Citations

0
Enhanced detection of early Parkinson’ s disease through multi-sensor fusion on smartphone-based IoMT platforms DOI
Tongyue He, Junxin Chen,

M. Shamim Hossain

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102889 - 102889

Published: Dec. 1, 2024

Language: Английский

Citations

1