Google DeepMind’s gemini AI versus ChatGPT: a comparative analysis in ophthalmology

Google’s Gemini AI represents a significant leap in chatbot technology, showcasing advanced capabilities and innovative features. Central to Gemini’s design is its status as a “native multimodal” model, enabling it to process and learn from various data types, including text, audio, and video. Gemini’s technical capabilities is evident in its ability to analyse complex data sets, such as charts and images, which is a substantial advancement over the earlier Bard AI models [ 1 ]. This capability is particularly relevant for applications in medicine and ophthalmology, where data often comes in visual formats like medical images/scans. By analysing these images, Gemini could potentially be a useful tool to healthcare professionals in diagnosing and treating a wide range of conditions.