Systems and methods for visual cortex targeting and treatment
Disclosed are systems and methods for a computerized framework that detects medical conditions within patients and dynamically effectuates a treatment. The disclosed framework is configured for controlling computerized medical equipment by analyzing data associated with a patient, determining underlying conditions of the patient, then automatically causing such equipment to output electronic stimuli that can address the medical condition(s) detected. The framework can determine a correlation between a patient's attributes, electronic data of a condition of a patient and a medical disorder, and cause a medical device to treat and monitor improvements of the condition and disorder. The framework can be configured to focus in on particular body parts of a patient that have been identified as a body part that enables treatment as well as a part that facilitates the most efficient treatment for a recovery.
1 . A method comprising the steps of:
receiving, by a device, a request to provide a medical treatment to a patient, the medical treatment comprising instructions related to 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 electronic stimuli;
identifying, by the device, a status of the patient, the status of the patient corresponding to a medical condition of the patient;
determining, by the device, a type and value of the electronic stimuli based on the identified status of the patient;
automatically causing, by the device, the therapeutic medical device to adjust a positioning of the at least one eye component based on the identified status and the determined type and value of the electronic stimuli, the adjusted positioning enabling the electronic stimuli to be output via the at least one eye component according to the type and value, the adjusted positioning further enabling the electronic stimuli to be directed to a particular body part of the patient; and
causing the adjusted therapeutic medical device, by the device, to output the electronic stimuli provided in the medical treatment.
2 . The method of claim 1 , further comprising:
determining, by the device, based on the status of the patient and the determined type and value of the electronic stimuli, the particular body part of the patient, wherein the determination of the particular body part is based on the device executing a machine learning (ML) algorithm with the status of the patient and the determined type and value of the electronic stimuli as the input.
3 . The method of claim 2 , wherein the particular body part of the patient is at least one of a sub-part of at least one eye of the patient and a sub-part of the visual cortex of the patient.
4 . The method of claim 3 , wherein the particular body part of the patient corresponds to at least one of a quantity of eyes and dimensions and/or locations of the eyes.
5 . The method of claim 1 , further comprising:
identifying, by the device, a profile of the patient, the profile being an electronic medical record (EMR), the profile comprising information related to the status of the patient; and
analyzing, by the device, the profile, and determining symptoms of the medical condition of the patient.
6 . The method of claim 5 , wherein the identified status of the patient corresponds to the determined symptoms of the medical condition.
7 . The method of claim 5 , wherein the profile comprises information related to at least one of an identity (ID), name, address, age, race, gender, demographic information, geographic information, medical history, prescription history, family medical history, insurance information and collected biometric data of the patient.
8 . The method of claim 1 , wherein the determination of the type and value of the electronic stimuli is based on the device executing a machine learning (ML) algorithm with the status as the input.
9 . The method of claim 1 , further comprising:
receiving, by the device, response data from a targeted portion of the visual cortex of the patient, the response data produced in response to the output of the electronic stimuli;
analyzing, by the device, the response data, and determining information related to the response of the patient; and
storing, by the device, the response data and the determined information in an electronic medical record (EMR) of the patient, wherein the steps of the method are performed by the device executing a machine learning (ML) algorithm trained on the stored response data and determined information for a plurality of patients.
10 . The method of claim 1 , wherein the electronic stimuli is output according to at least one of a pattern, rate, shape, letter, frequency, quantity, volume, intensity, brightness, contrast, current and voltage.
11 . The method of claim 1 , wherein the therapeutic medical device is communicatively coupled to the device.
12 . The method of claim 1 , wherein the device is the therapeutic medical device.
13 . A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a device, perform a method comprising steps of:
receiving, by the device, a request to provide a medical treatment to a patient, the medical treatment comprising instructions related to 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 electronic stimuli;
identifying, by the device, a status of the patient, the status of the patient corresponding to a medical condition of the patient;
determining, by the device, a type and value of the electronic stimuli based on the identified status of the patient;
automatically causing, by the device, the therapeutic medical device to adjust a positioning of the at least one eye component based on the identified status and the determined type and value of the electronic stimuli, the adjusted positioning enabling the electronic stimuli to be output via the at least one eye component according to the type and value, the adjusted positioning further enabling the electronic stimuli to be directed to a particular body part of the patient; and
causing the adjusted therapeutic medical device, by the device, to output the electronic stimuli provided in the medical treatment.
14 . The non-transitory computer-readable storage medium of claim 13 , further comprising:
determining, by the device, based on the status of the patient and the determined type and value of the electronic stimuli, the particular body part of the patient, wherein the determination of the particular body part is based on the device executing a machine learning (ML) algorithm with the status of the patient and the determined type and value of the electronic stimuli as the input.
15 . The non-transitory computer-readable storage medium of claim 14 , wherein the particular body part of the patient is at least one of a sub-part of at least one eye of the patient and a sub-part of the visual cortex of the patient.
16 . The non-transitory computer-readable storage medium of claim 15 , wherein the particular body part of the patient corresponds to at least one of a quantity of eyes and dimensions and/or locations of the eyes.
17 . The non-transitory computer-readable storage medium of claim 13 , further comprising:
identifying, by the device, a profile of the patient, the profile being an electronic medical record (EMR), the profile comprising information related to the status of the patient; and
analyzing, by the device, the profile, and determining symptoms of the medical condition of the patient, wherein the identified status of the patient corresponds to the determined symptoms of the medical condition.
18 . The non-transitory computer-readable storage medium of claim 13 , further comprising:
receiving, by the device, response data from a targeted portion of the visual cortex of the patient, the response data produced in response to the output of the electronic stimuli;
analyzing, by the device, the response data, and determining information related to the response of the patient; and
storing, by the device, the response data and the determined information in an electronic medical record (EMR) of the patient.
19 . A device comprising:
a processor configured to:
receive a request to provide a medical treatment to a patient, the medical treatment comprising instructions related to 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 electronic stimuli;
identify a status of the patient, the status of the patient corresponding to a medical condition of the patient;
determine a type and value of the electronic stimuli based on the identified status of the patient;
automatically cause the therapeutic medical device to adjust a positioning of the at least one eye component based on the identified status and the determined type and value of the electronic stimuli, the adjusted positioning enabling the electronic stimuli to be output via the at least one eye component according to the type and value, the adjusted positioning further enabling the electronic stimuli to be directed to a particular body part of the patient; and
cause the adjusted therapeutic medical device to output the electronic stimuli provided in the medical treatment.
20 . The device of claim 19 , wherein the processor is further configured to:
determine, based on the status of the patient and the determined type and value of the electronic stimuli, the particular body part of the patient, wherein the determination of the particular body part is based on the device executing a machine learning (ML) algorithm with the status of the patient and the determined type and value of the electronic stimuli as the input.