Evaluation of machine learning approach for surgical results of Ahmed valve implantation in patients with glaucoma.
Journal:
BMC ophthalmology
PMID:
38862946
Abstract
BACKGROUND: Ahmed valve implantation demonstrated an increasing proportion in glaucoma surgery, but predicting the successful maintenance of target intraocular pressure remains a challenging task. This study aimed to evaluate the performance of machine learning (ML) in predicting surgical outcomes after Ahmed valve implantation and to assess potential risk factors associated with surgical failure to contribute to improving the success rate.