@inproceedings{246373f76fd9446cb766f1f4b5edc569,
title = "The Sensing, Computing, and Devices Opportunities of Computational Behavioral Phenotype: An Autism Spectrum Disorder Case Study",
abstract = "The AI revolution will come when high-quality healthcare is accessible to all. We describe steps towards this in autism screening. We developed an app displaying stimuli eliciting behaviors that allow to detect signs of autism. These are automatically detected and quantified using machine learning, enabling an early, scalable, and accurate detection. This exemplifies the potential for mobile AI to provide an accessible approach to health and the technology challenges that come with it.",
author = "Guillermo Sapiro and \{Di Martino\}, Matias and Geraldine Dawson",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 IEEE International Solid-State Circuits Conference, ISSCC 2026 ; Conference date: 15-02-2026 Through 19-02-2026",
year = "2026",
doi = "10.1109/ISSCC49663.2026.11409202",
language = "English (US)",
series = "Digest of Technical Papers - IEEE International Solid-State Circuits Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "494--496",
booktitle = "2026 IEEE International Solid-State Circuits Conference, ISSCC 2026",
address = "United States",
}