Neural network guides keratoconus treatment, predicts outcomes with intracorneal rings

COPENHAGEN — A neural network based on a large database of keratoconus cases implanted with intracorneal ring segments can guide selection and intelligent surgical planning, predicting outcomes and optimizing results, according to a poster presented at the European Society of Cataract and Refractive Surgeons meeting.“Using the real-life data of 2,000 patients, we have selected the most representative, successful 400 cases. Through computer analysis of preoperative and postoperative data, a software selects, based on analogy, the cases that are most similar to the case you are going to treat as far (Read more...)

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