Artificial Intelligence in Optometry: Potential Benefits and Key Challenges: A Narrative Review

The integration of Artificial Intelligence (AI) into healthcare is transforming many medical fields, including optometry. This study provides a narrative review of the current applications and future potential of AI in optometric practice, emphasizing its role in automated screening and diagnosis, personalized treatment planning, and enhanced accessibility through tele-optometry. Alongside these opportunities, this study examines the technical, socioeconomic, ethical, legal, and professional challenges that limit the effective integration of AI in optometry practice. Focus is placed on concerns surrounding data privacy, patient autonomy, regulatory disparities, and practitioner resistance to adoption. Furthermore, this review highlights key research gaps, including the need for diverse training datasets, large-scale validation trials, and collaborative training between clinicians and AI developers. By resolving these challenges, AI has the potential to improve diagnostic accuracy, expand access to care, and enhance the quality of eye care services. By integrating the available evidence, this narrative review provides clinicians, policymakers, and researchers with a comprehensive overview of the benefits, challenges, and future directions of AI in optometry.

@article{Aldossary2025,
  title     = {Artificial Intelligence in Optometry: Potential Benefits and Key Challenges: A Narrative Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {8},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Noura A. Aldossary},
  doi       = {10.14569/IJACSA.2025.0160813},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160813}
}