Toward autonomous discovery: agentic AI and the future of ophthalmic research
Agentic AI represents a paradigm shift in scientific research, offering significant opportunities to enhance productivity, rigor, and innovation in ophthalmology. However, integration into clinical and research workflows necessitates careful consideration of ethical issues, including authorship attribution, data privacy, bias mitigation, and accountability. Clear governance frameworks, rigorous validation standards, and interdisciplinary training will be essential to responsibly harness agentic AI in ophthalmology.
Authors
- Andreas Pollreisz (ORCID: https://orcid.org/0000-0003-3902-239X)
- Brian T. Soetikno (ORCID: https://orcid.org/0000-0003-4530-4959)
- Daniel Shu Wei Ting (ORCID: https://orcid.org/0000-0003-2264-7174)
- Christopher Sivert Nielsen (ORCID: https://orcid.org/0000-0003-0678-331X)
Institutions
- University of California, Los Angeles (US)
- University of Calgary (CA)
- Singapore National Eye Center (SG)
- Singapore Eye Research Institute (SG)
- Duke-NUS Medical School (SG)
- Smith-Kettlewell Eye Research Institute (US)
- Medical University of Vienna (AT)
- Stanford University (US)
Publication Details
- Journal
- Current Opinion in Ophthalmology
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1097/icu.0000000000001179
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65