US 12,387,005 B2
De-identifying data obtained from microphones
Danail V. Stoyanov, London (GB)
Assigned to DIGITAL SURGERY LIMITED, London (GB)
Filed by DIGITAL SURGERY LIMITED, London (GB)
Filed on Mar. 22, 2023, as Appl. No. 18/124,633.
Claims priority of provisional application 63/326,967, filed on Apr. 4, 2022.
Prior Publication US 2023/0315905 A1, Oct. 5, 2023
Int. Cl. G06F 21/62 (2013.01); G06V 20/40 (2022.01)
CPC G06F 21/6254 (2013.01) [G06V 20/44 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving data, at a computing system, from one or more microphones in an operating room;
de-identifying the data by the computing system, the de-identifying comprising:
inputting the data into a machine learning system that has been trained to detect patterns in the data that are likely to identify a specific entity, and executing a de-identification inference engine to remove the detected patterns from the data to generate de-identified data comprising a transformation of one or more phrases in the data based on a combination of keywords and actions defined for a surgical environment;
receiving an output from the machine learning system, the output including the de-identified data; and
providing the output to a data collection system.