Application of soft computing methods to the diagnosis and prediction of glaucoma

Abstract

Artificial intelligence, including fuzzy logic, is applied to the diagnosis of glaucoma. Current methods and difficulties are reviewed and a diagnostic and prediction system is proposed. Validation of the developed software will involve data collected from the clinical evaluation of glaucoma patients, glaucoma-suspect patients and normal subjects. The proposed system is expected to lead to a decrease in the difficulty and cost of glaucoma diagnosis as well as a decrease in the associated health risks.