A Scoping Review of Artificial Intelligence in Ocular Oncology.
Most artificial intelligence models for eye cancer are still prototypes, not ready for clinics.
A Scoping Review of Artificial Intelligence in Ocular Oncology.
To provide a comprehensive literature review of original work on artificial intelligence in ocular oncology.
Scoping review of PubMed-indexed original articles ( n = 94) on the use of artificial intelligence in ocular oncology, retrieved during the month of February 2026 and independently screened by two ocular oncologists.
Most literature ( n = 32, 34%) on artificial intelligence in ocular oncology originates from China.
Datasets comprised images in 78% ( n = 73) of the studies, clinical parameters in 14% ( n = 13), and omics data in 12% ( n = 11).
Most studies worked on developing artificial intelligence models ( n = 83, 88%), of which two reached a deployment stage.
Few studies evaluated or incorporated pre-existing models ( n = 11, 12%).
Despite the limitation of a single database search, a surge in artificial intelligence applications in ocular oncology after 2020 is evident.
Most studies are in the model development stage, and few have been deployed in the real world for clinical implementation. Very few models have proven effective in real-world clinics and the community, holding promise for the future.