Neural network analysis for multifocal contact lens design
May 9, 2016. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesPresbyopic contact lens Multifocal intraocular lenses Segmented multifocal contact lens Multifocal ophthalmic lens Method and contact lenses for treating presbyopia Multifocal contact lens and method for preparing Indirect ophthalmoscopy lens for use with slit lamp biomicroscope Multipocal contact lens and method for preparing Ophthalmic lens having a progressive multifocal zone and method of manufacturing same Multifocal contact lens and method for preparing InventorAssigneeApplicationNo. 647005 filed on 05/09/1996US Classes:702/108, TESTING SYSTEM351/159, Ophthalmic lenses or blanks351/160H, Hydrophilic351/160R, Eye contact type706/16, Learning task706/19Constraint optimization problem solvingExaminersPrimary: Trammell, James P.Assistant: Nguyen, Hoang Foreign Patent References
International ClassesG02C 007/04B29D 011/00 A61F 002/16 AbstractThe present invention discloses a method for optimizing multifocal lens designs using neural network analysis. More specifically, a neural network is trained using data collected in clinical evaluations of various multifocal lens designs. The trained neural network is then used to predict optimal lens designs for large populations of patients.Other References
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