Large language models for ophthalmic examination understanding: from information extraction to clinical decision support
Publicly available LLMs and MLLMs are evolving from report-parsing tools toward broader ophthalmic clinical assistants, but their use should follow a task-layered validation framework in which verification and human oversight increase with the clinical consequences of error.
Gang-Yi Wang, Xuan-Qiao Lin, Yi-Zhou Yang
· Frontiers in Medicine · 0 citations