Application US20200043615

Brain Health Comparison System
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US20200043615

1. A method for assaying, predicting, and comparing the health of a first user with a plurality of users and providing customized health recommendations, comprising: (8) (7)

obtaining new information of a first user, said new information comprising: at least one of anatomical and functional information of at least one body organ of said first user;

behavioral information of said first user; and

self-reported information of said first user;

providing a database comprising previously existing information of a plurality of users, said previously existing information comprising: anatomical information of said plurality of users;

functional information of said plurality of users;

behavioral information of said plurality of users; and

self-reported information of said plurality of users;

providing at least one computer processor loaded with software configured and operable to train an artificial neural network on said previously existing information;

determining, using said at least one computer processor, and based at least in part on said artificial neural network: a predicted health of said first user by comparing said new information with said previously existing information; and

a predicted benchmark of health of said first user by comparing said at least one of anatomical and functional information of said first user with said previously existing information;

storing said new information in said database;

retraining said artificial neural network based on said new information; and

notifying said first user about the health of said first user.

2. The method of claim 1, wherein said at least one body organ of said first user is a human brain. (0)

3. The method of claim 1, wherein said at least one of functional and anatomical information of said first user is neuroimaging information of the human brain of said first user, said previously existing anatomical and functional information of said plurality of users is neuroimaging information of the human brains of said plurality of users, said behavioral information of said first user is obtained by using at least one behavioral task designed to assess cognitive function and performance of said first user, and wherein said behavioral information of said plurality of users is obtained by using at least one behavioral task designed to assess cognitive function and performance of said plurality of users. (0)

4. The method of claim 1, wherein said predicted health of said first user is a predicted brain health of said first user and said predicted benchmark of health of said first user is a predicted benchmark of brain health of said first user. (6) (0)

8. The method of claim 4, wherein said predicted brain health and said predicted benchmark of brain health are compared against predetermined thresholds to determine abnormalities, malfunctions, deviations, and other irregularities in at least one of the prediction accuracy, the behavioral performances, and the self-reported responses of said first user. (0)

9. The method of claim 4, wherein said predicted brain health and said predicted benchmark of brain health are used to make brain health recommendations via a user interface. (0)

10. The method of claim 4, wherein said predicted brain health and said predicted benchmark of brain health are used to provide scholarly and other publications via a user interface. (0)

11. The method of claim 4, wherein said predicted brain health and said predicted benchmark of brain health are used to refer said first user to specialist health practitioners via a user interface. (0)

12. The method of claim 4, wherein said predicted brain health and said predicted benchmark of brain health are used to connect said first user to other consenting users with similar results via a user interface. (0)

13. The method of claim 4, wherein said predicted brain health and said predicted brain health comparisons are based on prediction accuracies and statistical comparison thresholds. (0)

5. The method of claim 1, wherein said notifying includes sending, via a network, an indication of predicted brain health of said first user. (0)

6. The method of claim 1, wherein said previously existing information of said plurality of users is used to train said artificial neural network to provide a predicted brain health of said first user. (0)

7. The method of claim 1, wherein said new information of said first user is benchmarked against said previously existing information of said plurality of users. (0)

14. The method of claim 1, wherein said artificial neural network is at least one of a convolutional neural network, a long short-term memory neural network, and a recurrent neural network employing a deep learning technique. (0)

15. The method of claim 1, wherein said first user information further comprises health monitoring information of said first user and said previously existing information of said plurality of users further comprises health monitoring information of said plurality of users. (0)

16. A system for assaying, predicting, and comparing brain health of a first user with a plurality of users and providing customized brain health recommendations, comprising: (3) (3)

a database comprising previously existing information of a plurality of users, said previously existing information comprising: anatomical neuroimaging information;

functional neuroimaging information;

behavioral information; and

self-reported information;

at least one computer processor loaded with software configured and operable to: receive new information of a first user, said new information comprising: at least one of anatomical and functional neuroimaging information;

behavioral information of said first user; and

self-reported information of said first user;

train, by executing computer-readable software, an artificial neural network on said previously existing information;

determine, using said at least one computer processor, based at least in part on said artificial neural network trained on said previously existing user information: a predicted degree of brain health of said first user;

a predicted benchmark of brain health of said first user based on a comparison of said new information of said first user with said previously existing information of said plurality of users;

add said new information of said first user to said database;

re-train said artificial neural network based on said new information of said first user;

notify said first user of the brain health of said first user; and

a memory coupled to at least some of said at least one computer processor with computer executable instructions.

17. The system of claim 16, wherein said system is a multi-dimensional visualization and brain health recommendation system configured to be accessed via a graphical user interface. (0)

18. The system of claim 16, wherein said new information of said first user further comprises health monitoring information of said first user and said previously existing information of said plurality of users further comprises health monitoring information of said plurality of users. (0)

19. The system of claim 16, wherein said artificial neural network is at least one of a convolutional neural network, a long short-term memory neural network, and a recurrent neural network configured to employ a deep learning technique. (0)

20. A system for assaying, predicting, and comparing brain health of a first user with a plurality of users and providing customized brain health recommendations, comprising: (0) (10)

a neuroimaging device configured and operable to obtain at least one of anatomical and functional neuroimaging information,

a behavioral information collection device,

a user information database, said database configured to store previously existing user information of a plurality of users, said previously existing user information comprising: anatomical neuroimaging information;

functional neuroimaging information;

behavioral information; and

self-reported information;

a brain information preprocessing system,

a voxel positioning system,

a voxel intensity extraction system,

a behavior and self-report prediction system,

a brain area pinpointing system,

a brain health benchmarking system,

a multi-dimensional visualization and brain health recommendation system configured to: collect and receive new information of a first user, said new information comprising: at least one of anatomical and functional neuroimaging information of said first user;

behavioral information of said first user; and

self-reported information of said first user;

determine, using at least one computer processor, and based at least in part on an artificial neural network trained on said previously existing user information: a predicted degree of brain health of said first user; and

a predicted benchmark of brain health of said first user;

store said new information of said first user in said database;

re-train said artificial neural network based on said new information of said first user; and

notify said first user of the brain health of said first user.

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Application US20200043615

Brain Health Comparison System

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