Embodiments include systems and methods for determining the treatment option most likely to result in a favorable long-term outcome in a subject with spinal pain. Using forms of computer learning and artificial intelligence, databases are generated and mined for information matching a subject of interest. Once the appropriate treatment option has been selected for the subject, if a surgical procedure is indicated, further methods are employed to select the optimal type of operation to eliminate the source of the pain and stabilize the spine. After the type of surgical procedure and approach to the area of interest have been determined, methods are described for selecting the optimal interbody for insertion under the control of a robotic surgical system. Additional methods are used for planning the minimal amount of bone that must be removed to allow insertion of intervertebral hardware such as an interbody.

Embodiments of present disclosure provide a system, apparatus and method(s) for determining one or more target nodes and associated paths from a query of a graph structure. The method receives the query to the graph structure, where the query comprises a data representation of at least one query node. The method identifies one or more target nodes in response to the query based on a policy network, where the policy network is configured to determine the one or more target nodes in accordance with a latent policy distribution associated with the policy network. The method traverses the graph structure by a search in relation to the policy network, where the search is configured to navigate from the query node to the one or more identified target nodes to determine the associated paths. The method outputs a list of the one or more target nodes and the associated paths for the query, where the list are ranked in relation to the latent policy distribution.

The present invention aims to provide an identification assistance system, an identification assistance client, and an identification assistance method that enable the user to identify drugs accurately and easily. In the identification assistance system according to an aspect of the present invention, first text which is the result of voice recognition is corrected, and thus errors of the voice recognition can be corrected. In addition, the first text is corrected with reference to a drug search dictionary having learned expressions used for drug identification, and thus expressions unique to drug identification can be taken into consideration. The user can perform a search not only by using the code and/or the name of the drug but also by speaking aloud the external appearance information on the drug. Thus, even if the code and the name are unknown, the user can perform a search by using the external appearance information.

The present invention aims to provide an identification assistance system, an identification assistance client, and an identification assistance method that enable the user to identify drugs accurately and easily. In the identification assistance system according to an aspect of the present invention, first text which is the result of voice recognition is corrected, and thus errors of the voice recognition can be corrected. In addition, the first text is corrected with reference to a drug search dictionary having learned expressions used for drug identification, and thus expressions unique to drug identification can be taken into consideration. The user can perform a search not only by using the code and/or the name of the drug but also by speaking aloud the external appearance information on the drug. Thus, even if the code and the name are unknown, the user can perform a search by using the external appearance information.

A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Biological System information retrieval system and method thereof disclosed. The biological system information retrieval system may include a query inputting unit, configured for inputting a retrieval query being described to have at least one of a current state and an expected result, a query parsing unit, configured for extracting a token for the current state and the expected result from the retrieval query, and generating at least one of a first corpus data set for the current state and a second corpus data set for the expected result by using the token, and a retrieval requesting unit, configured for inputting at least one of the first corpus data set and the second corpus data set and an option value being generated according to a predetermined syntax to an information management device in order to retrieve a biological system information having similarity.

A research assistant system may include a research tool and components and a user interface to discover and evidence answers to complex research questions. The research tools may include components to iteratively perform steps in a research process, including searching, analyzing, connecting, aggregating, synthesizing, and chaining together evidence from a diverse set of knowledge sources. The system may receive an input query and perform a semantic search for key concepts in a text corpus. A semantic parser may interpret the search results. The system may aggregate and synthesize information from interpreted results. The system may rank and score the aggregated results data and present data on the user interface. The user interface may include prompts to iteratively guide user input to explore evidentiary chains and connect research concepts to produce research results annotated by evidence passages.

A system for informing food element decisions in the acquisition of edible materials from any source. The system includes a processor coupled to a memory configured to receive from a user client device a food element descriptor uniquely identifying a particular food element. The system retrieves from a physiological database at least an element of physiological data. The system identifies using at least an element of physiological data and a machine-learning algorithm user constitutional enhancing food elements and user constitutional advancing food elements. The system classifies using a food element classifier a food element descriptor. The system displays on a graphical user interface a constitutional enhancing food element or a constitutional advancing food element.

Biological system information retrieval system and method thereof disclosed. The biological system information retrieval system may include a query inputting unit, configured for inputting a retrieval query being described to have at least one of a current state and an expected result, a query parsing unit, configured for extracting a token for the current state and the expected result from the retrieval query, and generating at least one of a first corpus data set for the current state and a second corpus data set for the expected result by using the token, and a retrieval requesting unit, configured for inputting at least one of the first corpus data set and the second corpus data set and an option value being generated according to a predetermined syntax to an information management device in order to retrieve a biological system information having similarity.