20Nov 2023
Accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration

Accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration

A recent study delves into the impact of age-related macular degeneration (AMD) on a global scale, highlighting the surge in online research and potential misinformation causing anxiety. The study evaluates the effectiveness of large language models (LLMs), specifically ChatGPT 3.5, Bing AI, and Google Bard, in addressing AMD-related queries. Results indicate that ChatGPT 3.5 consistently provided the most accurate responses, particularly in technical inquiries. While LLMs show promise in delivering precise information about AMD, improvements are needed, especially in addressing more technical questions. The study emphasizes the importance of reliable information dissemination in managing AMD-related concerns.

  • #ophthalmology

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