Daniel L Ruiz

US Patent:

20200273372, Aug 27, 2020

Filed:

Feb 27, 2019

Appl. No.:

16/286927

Inventors:

- Armonk NY, US
Maruthi P. Koiloth - Little Elm TX, US
Daniel Ruiz - Austin TX, US
Zachary Silverstein - Austin TX, US

International Classification:

G09B 23/28
G09B 23/30
A61B 34/10

Abstract:

Disclosed embodiments provide a computer-implemented technique for selection and/or modification of surgical simulation scenarios based on patient similarity cohort identification. Prior to undergoing surgery, medical information of a patient, including genomic, physiological, and/or environmental data, is used to identify a patient cohort. The patient cohort represents a statistically significant sample size of similar patients, and complications that may have arose during similar surgical procedures to the procedure planned for the patient. Relevant scenarios are identified based on the patient cohort. These scenarios are then input to a surgical simulation system. The surgical simulation system may be implemented by virtual reality, augmented reality, and/or physical workpieces used for surgical practice and training. This can increase the probability of a successful outcome for the patient, and furthermore save costs by reducing the risk of malpractice lawsuits, thereby potentially lowering overall healthcare costs.

US Patent:

20200273373, Aug 27, 2020

Filed:

Jul 26, 2019

Appl. No.:

16/522812

Inventors:

- Armonk NY, US
Maruthi P. Koiloth - Little Elm TX, US
Daniel Ruiz - Austin TX, US
Zachary Silverstein - Austin TX, US

International Classification:

G09B 23/28
A61B 34/10
G09B 23/30

Abstract:

Disclosed embodiments provide a computer-implemented technique for selection and/or modification of surgical simulation scenarios based on patient similarity cohort identification. Prior to undergoing surgery, medical information of a patient, including genomic, physiological, and/or environmental data, is used to identify a patient cohort. The patient cohort represents a statistically significant sample size of similar patients, and complications that may have arose during similar surgical procedures to the procedure planned for the patient. Relevant scenarios are identified based on the patient cohort. These scenarios are then input to a surgical simulation system. The surgical simulation system may be implemented by virtual reality, augmented reality, and/or physical workpieces used for surgical practice and training. This can increase the probability of a successful outcome for the patient, and furthermore save costs by reducing the risk of malpractice lawsuits, thereby potentially lowering overall healthcare costs.