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Evaluating the potential of ChatGPT-4 in ophthalmology: The good, the bad and the ugly
R K Khanna1, J-B Ducloyer2, A Hage3
1Service d'ophtalmologie, hôpital universitaire Bretonneau, Inserm 1253 iBrain, Tours, France.
Abstract:
There is growing interest nowadays for artificial intelligence (AI) in all medical fields. Beyond the direct medical application of AI to medical data, generative AI such as "pre-trained transformer" (GPT) could significantly change the ophthalmology landscape, opening up new avenues for enhancing precision, productivity, and patient outcomes. At present, ChatGPT-4 has been investigated in various ways in ophthalmology for research, medical education, and support for clinical decisions purposes. This article intends to demonstrate the application of ChatGPT-4 within the field of ophthalmology by employing a 'mise en abime' approach. While we explore its potential to enhance the future of ophthalmology care, we will also carefully outline its current limitations and potential risks.
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