Abstract

Autism spectrum disorders (ASD) are developmental conditions affecting approximately 1% of the global population. Early detection plays a critical role in managing and addressing the condition effectively. This often involves participants engaging in one-on-one sessions with qualified clinicians, who assess their behavior for diagnostic purposes. A key challenge in these sessions is ensuring the participant’s privacy while preserving the behavioral characteristics necessary for accurate diagnosis.
The AVAIL project aims to address this challenge by leveraging state-of-the-art artificial intelligence to safeguard participant privacy while enabling clinicians to make accurate and informed assessments.

We acknowledge funding from: National Institute for Mental Health “AVAIL:  Anonymization of Videos using AI for Large scale data sharing” (2024-2029).

Publications

In progress