Surgical analytics and tools
AssigneeKaliber Labs Inc.
InventorsMason STALLMO, James WACLAWIK, Mark RUIZ, Chandra JONELAGADDA
Life of this patent
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Abstract
Methods, apparatuses, and systems are disclosed for managing and processing surgical media, including surgical video data. In some variations, one or more neural networks may be trained to determine, locate, and/or identify surgical Receive patient data, and surgery events, tools, or procedures within the surgical video data.
Claims22
A method for managing surgical data, the method comprising:
- receiving surgical video data;
- applying a trained first neural network to the surgical video data to determine one or more surgical events based on the surgical video data, wherein the is first trained neural network is trained to recognize at least one of:
- a surgery stage, a surgical activity, a surgical action, a surgical tool, an implant, a suture, and an implant anchor;
- and
- forming a report summary including a video clip comprising highlights of one or more determined surgical using a second trained neural network wherein the second trained neural network is trained to identify a representative image or video clip from the surgical video data based on the one or more determined surgical events;
- and
- outputting the report summary.
A system, comprising:
- one or more processors;
- and
- a memory configured to store instructions that, when executed by one of the one or more processors, cause the system to:
- apply a trained first neural network to a surgical video data to determine one or more surgical events based on the surgical video data, wherein the is first trained neural network is trained to recognize at least one of:
- a surgery stage, a surgical activity, a surgical action, a surgical tool, an implant, a suture, and an implant anchor;
- and
- form a report summary including a video clip comprising highlights of one or more determined surgical using a second trained neural network wherein the second trained neural network is trained to identify a representative image or video clip from the surgical video data based on the one or more determined surgical events;
- and
- output the report summary.
A non-transitory computer-readable storage medium comprising instructions that, when executed by one or more processors of a device, cause the one or more processors to perform operations comprising:
- applying a trained first neural network to a surgical video data to determine one or more surgical events based on the surgical video data, wherein the is first trained neural network is trained to recognize at least one of:
- a surgery stage, a surgical activity, a surgical action, a surgical tool, an implant, a suture, and an implant anchor;
- and
- forming a report summary including a video clip comprising highlights of one or more determined surgical using a second trained neural network wherein the second trained neural network is trained to identify a representative image or video clip from the surgical video data based on the one or more determined surgical events;
- and
- outputting the report summary.
-29. (canceled)
(canceled)
Dependencies are inferred from the claim text.