Explore the clinical evidence behind Autism I-Track and discover how years of research and validation support objective eye-tracking technology in autism assessment.
Evidence Overview
Clinical Validation
Clinical evidence is at the core of Autism I-Track. Built on years of scientific research and clinical validation, our platform provides objective eye-tracking measurements that support clinicians with reliable, evidence-based insights while continuously evolving through ongoing research and real-world application.
Validation Journey

Our journey began with extensive scientific research to better understand gaze behavior and develop objective methods for autism assessment.

Initial studies evaluated the platform's feasibility, usability, and performance, providing the foundation for further development.

The technology was assessed through clinical studies to evaluate its effectiveness and support its use in autism assessment.

The platform has been demonstrated in clinical, research, and international settings, supporting its practical application and continuous improvement.
Performance & Impact
Evaluated through multiple research and validation studies to assess performance, reliability, and clinical applicability.
Supported by scientific publications that contribute to the growing body of evidence for eye-tracking technology in autism assessment.
Presented at leading international conferences, healthcare events, and research forums to engage with the global scientific and clinical community.
Designed for implementation across clinical, research, and healthcare environments to support objective autism assessment.
Visual Evidence
Explore Autism I-Track in action through images showcasing clinical assessments, research activities, technology demonstrations, and international engagement. These moments reflect our commitment to advancing autism assessment through scientific research, innovation, and real-world application.
Scientific Evidence
Authors: Al-Shaban, F., Frazier, T. W., Ghazal, I., et al. (2026)
Published in: BMC Psychiatry
Authors: Alshaban, F.A., Ghazal, I., et al. (2026)
Published in: Autism Research
Authors: Frazier, T., Uljarevic, M., Ghazal, I., et al. (2021)
Do you Have Questions?
Find answers to common questions about Autism I-Track’s technology, assessment process, and clinical applications.
Autism I-Track has been developed through years of scientific research and evaluated through multiple validation studies. The platform is designed to provide objective eye-tracking measurements that support clinicians during the autism assessment process.
The platform is supported by peer-reviewed publications, international research collaborations, and clinical studies investigating the use of eye-tracking technology for autism assessment.
Yes. Autism I-Track has been demonstrated in clinical, research, and international conference settings, helping evaluate its usability and practical application across diverse environments.
No. Autism I-Track is designed to support healthcare professionals by providing objective eye-tracking data that complements comprehensive clinical evaluation. It is not intended to replace professional medical judgment.
Learn how our research and clinical validation support objective autism assessment.
Hamza Falah leads the software development of Autism I-Track, transforming scientific research into a secure, intuitive, and scalable platform. His work focuses on delivering reliable technology that supports clinicians through objective, data-driven autism assessment.
Iman Ghazal is a Senior Research Associate with extensive experience in autism research and eye-tracking technology. She leads the research and operational activities behind Autism I-Track, overseeing clinical studies, data integrity, and technology implementation. Her work focuses on translating scientific research into practical solutions that support objective autism assessment and improve clinical practice.
Dr. Fouad is the visionary behind Autism I-Track, leading the development of a research-driven eye-tracking platform for autism assessment. His work focuses on translating years of scientific research into innovative clinical technologies that improve autism screening and support healthcare professionals worldwide.