Methods and systems for dynamically loading algorithms based on surgery information

A system for dynamically providing machine learning models to a target device for a surgical procedure, comprising:

• one or more processors;
• one or more memories;
• and
• one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for:
• identifying a user profile associated with the surgical procedure;
• determining, based on the identified user profile, a plurality of candidate procedures;
• obtaining data from one or more devices in a surgical environment associated with the surgical procedure;
• selecting at least one procedure from the plurality of candidate procedures based on:
• the data obtained from the one or more devices, and
• one or more weights associated with the data obtained from the one or more devices;
• identifying a machine learning model based on the selected at least one procedure;
• and
• providing the identified machine learning model to the target device for execution.

A non-transitory computer-readable storage medium storing instructions that, when executed by one or more processors of an electronic device, cause the device to:

• identify a user profile associated with the surgical procedure;
• determine, based on the identified user profile, a plurality of candidate procedures;
• obtain data from one or more devices in a surgical environment associated with the surgical procedure;
• select at least one procedure from the plurality of candidate procedures based on:
• the data obtained from the one or more devices, and
• one or more weights associated with the data obtained from the one or more devices;
• identify a machine learning model based on the selected at least one procedure;
• and
• provide the identified machine learning model to the target device for execution.