The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 06, 2026
Filed:
Jan. 21, 2021
Carl Zeiss Meditec Ag, Jena, DE;
Hendrik Burwinkel, Munich, DE;
Holger Matz, Unterschneidheim, DE;
Stefan Saur, Aalen, DE;
Christoph Hauger, Aalen, DE;
Nassir Navab, Munich, DE;
Carl Zeiss Meditec AG, Jena, DE;
Abstract
A computer-implemented method for determining the refractive power of an intraocular lens to be inserted is presented. The method includes generating first training data for a machine learning system on the basis of a first physical model for a refractive power for an intraocular lens and training the machine learning system by means of the first training data generated, for the purposes of forming a first learning model for determining the refractive power. Furthermore, the method includes training the machine learning system, which was trained using the first training data, using clinical ophthalmological training data for forming a second learning model for determining the refractive power and providing ophthalmological data of a patient and an expected position of the intraocular lens to be inserted. Moreover, the method includes predicting the refractive power of the intraocular lens to be inserted by means of the trained machine learning system and the second learning model. In the process, the ophthalmological data provided and the position of the intraocular lens are used as input values for the machine learning system with the second learning model.