Asunto(s)
Extracción de Catarata , Complicaciones Posoperatorias , Humanos , Extracción de Catarata/efectos adversos , Masculino , Complicaciones Posoperatorias/diagnóstico , Complicaciones Posoperatorias/etiología , Femenino , Anciano , Síndrome , Enfermedad Aguda , Persona de Mediana Edad , Cápsula del Cristalino/patología , Anciano de 80 o más AñosRESUMEN
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.