US 12,340,909 B2
Simulation-based surgical analysis system
Charles J. Scheib, Loveland, OH (US); Frederick E. Shelton, IV, Hillsboro, OH (US); and Kevin M. Fiebig, Cincinnati, OH (US)
Assigned to Cilag GmbH International, Zug (CH)
Filed by Cilag GmbH International, Zug (CH)
Filed on May 27, 2021, as Appl. No. 17/332,496.
Claims priority of provisional application 63/191,681, filed on May 21, 2021.
Prior Publication US 2022/0370136 A1, Nov. 24, 2022
Int. Cl. G16H 50/50 (2018.01); A61B 18/14 (2006.01); A61B 34/00 (2016.01); A61B 34/30 (2016.01); A61B 34/37 (2016.01); A61B 90/00 (2016.01); G06F 30/20 (2020.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G09B 9/00 (2006.01); G09B 19/00 (2006.01); G09B 23/30 (2006.01); G16H 15/00 (2018.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); A61B 18/12 (2006.01); A61B 34/10 (2016.01)
CPC G16H 50/50 (2018.01) [A61B 18/14 (2013.01); A61B 34/25 (2016.02); A61B 34/30 (2016.02); A61B 34/37 (2016.02); A61B 90/36 (2016.02); G06F 30/20 (2020.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G09B 9/00 (2013.01); G09B 19/003 (2013.01); G09B 23/30 (2013.01); G16H 15/00 (2018.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); A61B 2018/1253 (2013.01); A61B 2018/126 (2013.01); A61B 34/10 (2016.02); A61B 2034/101 (2016.02); A61B 2034/102 (2016.02); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); A61B 2034/252 (2016.02); A61B 2034/254 (2016.02); A61B 2034/256 (2016.02); A61B 2034/258 (2016.02); A61B 2090/363 (2016.02); A61B 2090/365 (2016.02); A61B 2218/002 (2013.01); A61B 2218/008 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computing device for performing surgical analysis via surgical simulation, the computing device comprising:
a processor configured to:
obtain first data associated with a first simulated surgical procedure and second data associated with a second simulated surgical procedure, wherein the first simulated surgical procedure and the second simulated surgical procedure simulate a surgical procedure, wherein the first simulated surgical procedure is a user-simulated procedure and the second simulated surgical procedure is a computer-simulated procedure, and wherein the first data and the second data are associated with a surgical task of the surgical procedure;
generate aggregation data from the first data and the second data based on a surgical aspect of the first data and a corresponding surgical aspect of the second data, wherein to generate the aggregation data comprises the processor being configured to at least contrast the first data and the second data based on a first reaction associated with the first simulated surgical procedure and a second reaction associated with the second simulated surgical procedure, a first complication associated with the first simulated surgical procedure and a second complication associated with the second simulated surgical procedure, and a first outcome associated with the first simulated surgical procedure and a second outcome associated with the second simulated surgical procedure, compile the first data and the second data based on the first reaction associated with the first simulated surgical procedure and the second reaction associated with the second simulated surgical procedure, the first complication associated with the first simulated surgical procedure and the second complication associated with the second simulated surgical procedure, and the first outcome associated with the first simulated surgical procedure and the second outcome associated with the second simulated surgical procedure, or aggregate the first data and the second data based on the first reaction associated with the first simulated surgical procedure and the second reaction associated with the second simulated surgical procedure, the first complication associated with the first simulated surgical procedure and the second complication associated with the second simulated surgical procedure, and the first outcome associated with the first simulated surgical procedure and the second outcome associated with the second simulated surgical procedure;
determine, from the aggregation data, a first causal relation between a first surgical choice of the first data and the surgical aspect of the first data and a second causal relation between a second surgical choice of the first data and the corresponding surgical aspect of the second data, wherein the first causal relation comprises a first relationship between the first surgical choice associated with the user-simulated procedure and a first surgical outcome that is associated with the first surgical choice, and wherein the second causal relation comprises a second relationship between the second surgical choice associated with the computer-simulated procedure and a second surgical outcome that is associated with the second surgical choice; and
display the first data and the second data, wherein the first causal relation is displayed with the first data and the second causal relation is displayed with the second data.