Systems and methods for visual cortex targeting and treatment

A device, comprising:

• a processor;
• and
• a non-transitory computer-readable medium having stored thereon instructions executable to cause the device to perform operations comprising:
• determining, via status information provided to a machine learning (ML) engine, a status of a patient that corresponds to a medical condition of the patient;
• initiating a medical treatment to the patient, the medical treatment comprising treatment instructions related to initial electronic stimuli to be output via a therapeutic medical device and delivered to a visual cortex of the patient, the treatment instructions further comprising information identifying at least one eye component of the therapeutic medical device to output the initial electronic stimuli;
• determining, by the device, a type and value of the initial electronic stimuli based on the determined status of the patient;
• receiving initial stimulation response data indicating an initial response of the visual cortex of the patient to the initial electronic stimuli;
• using one or more machine learning computational algorithms, the ML engine determining a stimuli adjustment to the initial electronic stimuli based on the initial stimulation response data and the medical condition of the patient;
• and
• automatically causing the therapeutic medical device to adjust, based on the determined stimuli adjustment, output of subsequent electronic stimuli to be delivered by the therapeutic medical device to the visual cortex of the patient, wherein the subsequent electronic stimuli differs from the initial electronic stimuli in at least one stimuli parameter.

A method, comprising:

• determining, via status information provided to a machine learning (ML) engine associated with a therapeutic medical device, a status of a patient that corresponds to a medical condition of the patient;
• initiating a medical treatment to the patient, the medical treatment comprising treatment instructions related to initial electronic stimuli to be output via the therapeutic medical device and delivered to a visual cortex of the patient, the treatment instructions further comprising information identifying at least one output component of the therapeutic medical device to output the initial electronic stimuli;
• determining, by a device comprising a processor and a memory, one or more initial stimuli parameters of the initial electronic stimuli based on the determined status of the patient;
• causing the initial electronic stimuli to be applied to the patient via the therapeutic medical device;
• receiving initial stimulation response data indicating an initial response of the visual cortex of the patient to the initial electronic stimuli;
• using one or more machine learning computational algorithms, the ML engine determining a stimuli adjustment to the initial electronic stimuli based on the initial stimulation response data and the medical condition of the patient;
• and
• automatically causing the therapeutic medical device to adjust, based on the determined stimuli adjustment, output of subsequent electronic stimuli to be delivered by the therapeutic medical device to the visual cortex of the patient, wherein the subsequent electronic stimuli differs from the initial electronic stimuli in at least one stimuli parameter.

A system, comprising:

• a wearable therapeutic medical device;
• a processor;
• and
• a non-transitory computer-readable medium having stored thereon instructions executable to cause the device to perform operations comprising:
• determining, via status information, a status of a patient that corresponds to a medical condition of the patient;
• initiating a medical treatment to the patient, the medical treatment comprising treatment instructions related to initial electronic stimuli to be output via the therapeutic medical device and delivered to a visual cortex of the patient, the treatment instructions further comprising information identifying at least one eye component of the therapeutic medical device to output the initial electronic stimuli;
• determining, via a machine learning (ML) engine, one or more initial stimuli parameters of the initial electronic stimuli based on the determined status of the patient;
• receiving initial stimulation response data indicating an initial response of the visual cortex of the patient to the initial electronic stimuli;
• causing the ML engine to determine a stimuli adjustment to the initial electronic stimuli based on one or more machine learning computational algorithms, the initial stimulation response data, and the medical condition of the patient;
• and
• automatically causing the therapeutic medical device to adjust, based on the determined stimuli adjustment, output of subsequent electronic stimuli to be delivered by the therapeutic medical device to the visual cortex of the patient, wherein the subsequent electronic stimuli differs from the initial electronic stimuli in at least one stimuli parameter.