Systems and Methods for Selecting a Task-Specific Machine-Learning Model for Addressing a Clinical Task

A computing system, comprising:

• control circuitry;
• memory;
• and
• one or more sets of instructions stored in the memory and configured for execution by the control circuitry, the one or more sets of instructions comprising instructions for:
• receiving a prompt from a user;
• and
• in accordance with determining that the prompt requests assistance with a clinical task:
• selecting, by a machine-learning model trained to select from among a plurality of task-specific machine-learning models each trained to assist with one of a plurality of clinical tasks, a respective task-specific machine-learning model from among the plurality of task-specific machine-learning models based on the prompt;
• providing the prompt to the respective task-specific machine-learning model that was selected from among the plurality of task-specific machine-learning models;
• receiving a response to the prompt, wherein the response is generated by the respective task-specific machine-learning model;
• and
• in accordance with determining that the response addresses the clinical task, providing the response to the user.

A non-transitory computer-readable storage medium storing one or more sets of instructions configured for execution by a computing device having control circuitry and memory, the one or more sets of instructions comprising instructions for:

• receiving a prompt from a user;
• and
• in accordance with determining that the prompt requests assistance with a clinical task:
• selecting, by a machine-learning model trained to select from among a plurality of task-specific machine-learning models each trained to assist with one of a plurality of clinical tasks, a respective task-specific machine-learning model from among the plurality of task-specific machine-learning models based on the prompt;
• providing the prompt to the respective task-specific machine-learning model that was selected from among the plurality of task-specific machine-learning models;
• receiving a response to the prompt, wherein the response is generated by the respective task-specific machine-learning model;
• and
• in accordance with determining that the response addresses the clinical task, providing the response to the user.