US 12,336,759 B2
Selection of intraocular lens based on a predicted subjective outcome score
John Alfred Campin, Southlake, TX (US); Brant Gillen, Southlake, TX (US); Martin Gründig, Rangsdorf (DE); Robert Moore, Tannay (CH); George Hunter Pettit, Fort Worth, TX (US); and Mark Andrew Zielke, Lake Forest, CA (US)
Assigned to ALCON INC., Fribourg (CH)
Filed by Alcon Inc., Fribourg (CH)
Filed on May 25, 2021, as Appl. No. 17/330,327.
Claims priority of provisional application 63/032,195, filed on May 29, 2020.
Prior Publication US 2021/0369106 A1, Dec. 2, 2021
Int. Cl. A61B 3/10 (2006.01); A61B 3/00 (2006.01); A61B 3/103 (2006.01); G06N 3/08 (2023.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); A61B 34/10 (2016.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC A61B 3/10 (2013.01) [A61B 3/0025 (2013.01); A61B 3/103 (2013.01); G06N 3/08 (2013.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); A61B 2034/108 (2016.02); G16H 50/20 (2018.01); G16H 50/30 (2018.01)] 16 Claims
OG exemplary drawing
 
1. A system for selecting an intraocular lens for implantation into an eye of a patient, the system comprising:
a controller having a processor and a tangible, non-transitory memory on which instructions are recorded;
wherein the controller is configured to selectively execute at least one machine learning model, the at least one machine learning model being trained with a training dataset which includes respective historical sets comprising each of respective pre-operative objective data, respective pre-operative personality data, respective intra-operative data, respective post-operative objective data, and respective subjective outcome data;
wherein execution of the instructions by the processor causes the controller to:
obtain pre-operative objective data for the patient, including one or more anatomic eye measurements;
obtain pre-operative questionnaire data for the patient, including at least one personality trait;
enter the pre-operative objective data and the pre-operative questionnaire data as respective inputs to the at least one machine learning model and generate a predicted subjective outcome score for the patient as an output of the at least one machine learning model; and
select the intraocular lens based in part on the predicted subjective outcome score.