Artificial intelligence-driven diagnosis of autism spectrum disorder in children
This approach has proven to be effective in developing more accurate and straightforward AI models for ASD diagnosis. It demonstrates that integrating advanced AI techniques with practical clinical applications can significantly improve the healthcare system in Saudi Arabia, leading to earlier ASD detection, better-informed treatment plans, and ultimately, an improved quality of life for those affected.
Authors
- Nesren Farhah (ORCID: https://orcid.org/0000-0002-2103-1282)
- Abdullah H. Al-Nefaie (ORCID: https://orcid.org/0000-0002-3344-2302)
- Nizar Alsharif (ORCID: https://orcid.org/0000-0003-2537-1986)
- Sultan Ahmad (ORCID: https://orcid.org/0000-0002-3198-7974)
Institutions
- Lovely Professional University (IN)
- Saudi Electronic University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- King Salman Center for Disability Research (SA)
- King Faisal University (SA)
- Al Baha University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-08
- DOI
- https://doi.org/10.3389/fmed.2025.1723320
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00