Artificial intelligence in ophthalmology: trust, bias, and responsibility from the perspective of medical students and ophthalmologists
Both medical students and ophthalmologists recognize AI's potential in ophthalmology, particularly for surgical applications, while continuing to prioritize human expertise for diagnosis. AI is largely viewed as a complementary tool, with ethical concerns surrounding bias and responsibility remaining prominent. Trust in AI varies by clinical context, and acceptance of AI-assisted surgery is greater among early-career ophthalmologists.
Authors
- Tamara AlNawaiseh (ORCID: https://orcid.org/0000-0002-6510-026X)
- Iyad Sultan (ORCID: https://orcid.org/0000-0002-2664-1565)
- Mona Mohammad (ORCID: https://orcid.org/0000-0002-8318-1171)
- Leena Abdullah (ORCID: https://orcid.org/0000-0002-8077-7439)
- Yacoub Abdallah Yousef
- Leen N. Yousef
- Ibrahim AlNawaiseh
- Areen Shdeifat
- Mutasem Elfalah
Institutions
- University of Jordan (JO)
- King Hussein Cancer Center (JO)
- International Islamic College (MY)
Publication Details
- Journal
- Frontiers in Ophthalmology
- Published
- 2026-03-03
- DOI
- https://doi.org/10.3389/fopht.2026.1766974
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Hussein Cancer Center