发明申请
WO2021148518A1 MACHINE-LEARNING GESTÜTZTE PIPELINE ZUR DIMENSIONIERUNG EINER INTRAOKULARLINSE
审中-公开
基本信息:
- 专利标题： MACHINE-LEARNING GESTÜTZTE PIPELINE ZUR DIMENSIONIERUNG EINER INTRAOKULARLINSE
- 专利标题（英）：MACHINE LEARNING-SUPPORTED PIPELINE FOR DIMENSIONING AN INTRAOCULAR LENS
- 申请号：PCT/EP2021/051300 申请日：2021-01-21
- 公开(公告)号：WO2021148518A1 公开(公告)日：2021-07-29
- 发明人： BURWINKEL, Hendrik , MATZ, Holger , SAUR, Stefan , HAUGER, Christoph
- 申请人： CARL ZEISS MEDITEC AG
- 申请人地址： Göschwitzer Str. 51 - 52
- 专利权人： CARL ZEISS MEDITEC AG
- 当前专利权人： CARL ZEISS MEDITEC AG
- 当前专利权人地址： Göschwitzer Str. 51 - 52
- 代理机构： LIFETECH IP SPIES & BEHRNDT PATENTANWÄLTE PARTG MBB
- 优先权： DE10 2020 101 763.4 2020-01-24
- 主分类号： A61F2/16
- IPC分类号： A61F2/16 ; G02C7/02 ; G16H50/50 ; A61B3/107 ; A61F2240/002
The invention relates to a computer-implemented method for a machine learning-supported processing pipeline for determining parameter values for an intraocular lens to be inserted. The method comprises providing a scan result of an eye. The scan result is an image of an anatomical structure of the eye. The method further comprises determining biometric data of the eye from the scan results of an eye and using a first, trained machine learning system for determining a final position of an intraocular lens to be inserted, ophthalmological data being used as input data for the first machine learning system. The method further comprises determining a first optical power of the intraocular lens to be inserted, which is based on a physical model in which the determined final position of the intraocular lens and the determined biometric data are used as input variables for the physical model.