AI-Enabled Technologies and Biomarker Analysis for the Early Identification of Autism and Related Neurodevelopmental Disorders
Rohan Patel, Beth A. Jerskey, Jennifer Shannon, Neelkamal Soares, Jason M. Fogler · 2025
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Description
Rohan Patel and co-authors review in 2025 how artificial intelligence and biomarker tests could identify autism and related conditions earlier. Diagnosis now often takes more than a year of waiting, which delays help. The review covers many routes: eye tracking, sound analysis, video and sensor based behavior checks, brain imaging, molecular tests, record based prediction, and home apps.
Across routes, learning methods showed strong accuracy in telling autistic children apart. Eye tracking and voice tools were reliable, and home video and record based tools promise scale. Joining several routes raised predictive power further. The authors also weigh feasibility, regulation, and ethical hurdles before clinic use.
Catalog record
| CREATOR | Rohan Patel, Beth A. Jerskey, Jennifer Shannon, Neelkamal Soares, Jason M. Fogler |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 60 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |