The implementation of Digital Twin in healthcare significantly contributes to the diagnosis of pathologies, the suggestion of treatment scenarios, and the simulation of surgical interventions. Our focus is specifically on the application of Digital Twins in ophthalmology. The integration of artificial intelligence in the processes of prediction, monitoring, and simulation of pathologies brings numerous benefits, but also presents ethical risks and challenges. These risks include patient data confidentiality, accuracy of simulations and compliance with professional ethical standards. This paper emphasizes the necessity of in-depth discussions regarding the implementation of ethical standards to ensure the responsible use of artificial intelligence in medicine.