US 12,288,352 B2
Machine-learning based IOL position determination
Hendrik Burwinkel, Munich (DE); Holger Matz, Unterschneidheim (DE); Stefan Saur, Aalen (DE); and Christoph Hauger, Aalen (DE)
Assigned to Carl Zeiss Meditec AG, Jena (DE)
Appl. No. 17/759,350
Filed by Carl Zeiss Meditec AG, Jena (DE)
PCT Filed Jan. 21, 2021, PCT No. PCT/EP2021/051296
§ 371(c)(1), (2) Date Jul. 22, 2022,
PCT Pub. No. WO2021/148515, PCT Pub. Date Jul. 29, 2021.
Claims priority of application No. 102020101761.8 (DE), filed on Jan. 24, 2020.
Prior Publication US 2023/0057686 A1, Feb. 23, 2023
Int. Cl. G06K 9/00 (2022.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G16H 30/40 (2018.01)
CPC G06T 7/70 (2017.01) [G06N 3/08 (2013.01); G06T 7/0016 (2013.01); G16H 30/40 (2018.01); G06T 2207/10101 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30052 (2013.01)] 29 Claims
OG exemplary drawing
 
16. A prediction system for a machine learning supported determination of a final position for an intraocular lens that is to be surgically inserted into an eye of a patient, the prediction system comprising:
a provision module adapted to provide a pre-operative scan result of the eye, the pre-operative scan result of the eye representing an image of an anatomical structure of the eye; and
a trained machine learning system adapted to pre-operatively directly determine the final position for the intraocular lens that is going to be inserted, digital data of the pre-operative scan result of the eye serving as input data for the machine learning system.