Early autism detection: a review of emerging technologies, biomarkers, and explainable AI approaches
Rucha Agrawal, Renuka Agrawal · 2025
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Description
Rucha Agrawal and Renuka Agrawal reviewed in 2025 new ways to detect autism early, when help can shape later growth the most. Autism affects social talk and brings repeated behavior patterns. AI tools are now paired with body and behavior signs to aid early finding.
The review covers behavior tests, brain scans, gene signs, and eye gaze, with their methods, uses, and accuracy. Each field has gaps, from hard-to-read scan models to ethics and access issues in gene work. Eye gaze stands out as cheap, gentle, and able to give live, fair measures, yet it is little explored. The authors urge gaze models that can explain their choices.
Catalog record
| CREATOR | Rucha Agrawal, Renuka Agrawal |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 63 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |