Post-operative toric iol evaluation system
AssigneeAlcon Inc.
InventorsJohn Alfred Campin, George Hunter Pettit, Joseph Weatherbee
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Abstract
One or more images of an eye of a patient having an implanted IOL are received. The one or more images are captured using one or more imaging devices having one or more imaging modalities. A computing device determines misalignment of the IOL according to the one or more images and processes the misalignment using a predictive model to obtain an improvement probability. The computing device outputs an intervention recommendation according to the improvement probability. The intervention recommendation may be the result of cost/benefit analysis of the improvement probability.
Claims20
A method for evaluating intra ocular lens (IOL) placement, the method comprising:
- receiving, by a computing device, one or more images of an eye of a patient having an implanted IOL, the one or more images captured using one or more imaging devices having one or more imaging modalities;
- determining, by the computing device, a deficiency of the IOL according to the one or more images;
- processing, by the computing device, the deficiency using a predictive model to obtain an improvement probability indicating a likelihood that an intervention could decrease refractive error of the eye;
- and
- outputting, by the computing device, an intervention recommendation according to the improvement probability.
A system for evaluating intra ocular lens (IOL) placement, the system comprising:
- one or more imaging devices;
- and
- a computing device configured to:
- receive one or more images of an eye of a patient having an implanted IOL, the one or more images captured according to one or more imaging modalities;
- determine misalignment of the IOL according to the one or more images;
- process the misalignment using a predictive model to obtain an improvement probability indicating a likelihood that an intervention could decrease refractive error of the eye;
- and
- output an intervention recommendation according to the improvement probability.
Dependencies are inferred from the claim text.