Generative artificial intelligence and large language models are introducing new capabilities in medical communication, information processing, research support, and clinical documentation. Their emergence has created significant interest in exploring how language-based AI systems could support ophthalmologists and researchers while maintaining appropriate human oversight.
This session will examine potential applications of generative AI in ophthalmic education, scientific literature analysis, clinical documentation, patient communication, research assistance, and decision-support environments. Discussions will also consider the integration of multimodal AI systems capable of processing clinical text alongside ophthalmic imaging and other patient information.
The session will critically address accuracy, hallucination risks, privacy, bias, transparency, and responsible clinical use. Experts will discuss appropriate governance frameworks and explore how generative AI can be developed and implemented as a supportive technology rather than a replacement for professional clinical judgment.