Understanding required to consider artificial intelligence applications to the field of ophthalmology.

Machine learning operations (MLOps)[2] are becoming increasingly important and efforts should be made in this area. From an MLOps perspective, it is essential to have a mechanism to maintain and perpetuate the performance of artificial intelligence after its implementation in society. For example, for the intraocular lens check AI that the author and his team are developing,[3] providers must continuously replace the training data from obsolete intraocular lenses with new data.