Abstract: A method for diagnosing a medical condition through cognification of unstructured data is disclosed. The method may include receiving, at a server, an electronic medical record including notes pertaining to a patient. The method may also include generating cognified data using the notes, where the cognified data includes a health summary of the medical condition. The method may also include generating, based on the cognified data, a diagnosis of the medical condition of the patient, where the diagnosis at least identifies a type of the medical condition. The method may also include providing the diagnosis to a computing device for presentation on the computing device.

Abstract: A method includes receiving, at an artificial intelligence engine, a corpus of data for a patient, where the corpus of data includes a set of strings of characters. The method also includes identifying, in the set of strings of characters, indicia including a phrase, a predicate, a keyword, a subject, an object, a cardinal, a number, a concept, or some combination thereof. The method also includes comparing the indicia to a knowledge graph representing known health related information to generate a possible health related information pertaining to the patient. The method also includes identifying, using a logical structure, a structural similarity of the possible health related information and a known predicate in the logical structure. The method also includes generating, by the artificial intelligence engine, cognified data based on the structural similarity.

Abstract: A method for performing a medical transaction using a hyperledger, the method including receiving, from a computing device associated with a medical personnel entity, a request to perform the medical transaction between the medical personnel entity and a patient entity, where the medical personnel entity is associated with a medical personnel node and the patient entity is associated with a patient node, and a respective copy of the hyperledger is maintained at both the medical personnel node and the patient node. The method includes identifying a transaction in the hyperledger that stores an authorizing credential of the medical personnel entity, determining whether to allow the medical transaction to be performed based on at least the authorizing credential of the medical personnel entity, and responsive to determining to allow the medical transaction to be performed, updating the respective copy of the hyperledger with the medical transaction.

Abstract: A method for maintaining content pertaining to healthcare in a hyperledger, the method including receiving, from a computing device associated with a medical personnel entity, a transaction request to perform an operation on the hyperledger, wherein the operation includes storing content pertaining to healthcare in the hyperledger. The method also including executing one or more rules of the hyperledger to determine whether to allow the operation to be performed, wherein at least one of the one or more rules includes determining whether the medical personnel entity is associated with an authorizing credential pertaining to healthcare. Responsive to determining that the one or more rules of the hyperledger are satisfied, the method also including performing the operation on the hyperledger to store the content in the hyperledger.

Abstract: A device includes a display, a camera, a memory storing a software code, and a hardware processor configured to execute the software code to: configure the device to be in a first mode; receive, from the camera, camera data of an environment surrounding the device; determine that a person is present in the environment based on the camera data; determine that the person is facing the display based on the camera data; and transition the device from the first mode to a second mode, in response to determining that the person is facing the display. The display displays a first content when the device is in the first mode, and displays a second content different than the first content when the device is in the second mode. The second content is configured to provide information about the device to the person without requiring the person to touch the device.

Abstract: Autoscrubbers are capable of being operated in a manual (e.g. walk-behind) mode and an autonomous (operator free) mode and capable of switching between such operational modes. Apparatus and methods for steering such autoscrubbers use steering torque mechanisms to apply steering torques independently to left and right drive wheels. Steering systems for autonomous operation may be retrofit onto existing walk-behind autoscrubbers to implement this functionality. The autonomous control capability may not detract appreciably from an operator's ability to use the autoscrubber in a manual (walk-behind) mode.

Abstract: A method for answering questions posed by a user, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework, wherein logical framework comprises medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes medical logical linkages from the medical question to a therapeutic path-specific answer, and the medical logical linkages include the internal medical concepts and external therapeutic paradigm concepts derived from a store of medical subject matter ontology data; selecting a likely medical information path based upon the therapeuti

Abstract: Methods, systems, and techniques are disclosed for selecting and dispatching a worker to assist a robot. The system may include a computer comprising a processor and a computer readable memory. The computer readable memory may include lists of worker criteria items for a plurality of workers and a list of assistance criteria items for a robot. The system may include a triggering application executable by the processor for identifying triggering data corresponding to a triggering item within sensor data from the robot. A ranking application may also be stored on the computer and may be executed in response to an identification of triggering data corresponding to the triggering item. The ranking application may be operable to cross-reference the worker criteria items on each of the first lists with the assistance criteria items on the second list and to generate a ranking of the plurality of workers based on the cross-referencing.

Abstract: A computer-implemented method for answering natural language medical information questions posed by a user of a medical conversational interface of a cognitive artificial intelligence system, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question from the query; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample, where the internal medical concepts include descriptions of medical attributes of the medical data entities; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework for interpreting of the medical question, wherein logical framework comprises a catalog of medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes one or more med

Abstract: A method for answering a user-generated natural language medical information query based on a diagnostic conversational template, including: receiving a medical information query at an artificial intelligence-based diagnostic conversation agent; responsive to content of the query, selecting a diagnostic fact variable set relevant to generating an answer for the query by classifying the query into a domain-directed medical query classification associated with respective diagnostic fact variable sets; compiling user-specific medical fact variable values for respective medical fact variables of the diagnostic fact variable set, where the compiling further includes: extracting a first set of user-specific medical fact variable values from a local user medical information profile associated with the query and requesting a second set of user-specific medical fact variable values through questions; and generating an answer in response to the query.

Abstract: A method including receiving segments of a medical information natural language conversation stream at an artificial intelligence-based health information conversation agent from a user interface; responsive to medical information content of a user profile associated with the conversation stream, defining a desired clinical management outcome objective relevant to health management criteria and related health management data attributes of the user profile; identifying potential therapeutic interventions correlated to advancement of the clinical management outcome objective; selecting a medical intervention from the potential therapeutic interventions correlated to advancement of the outcome objective; presenting in the conversation stream a therapeutic advice conversation stream segment designed to stimulate execution of the medical intervention likely to advance the outcome objective; and presenting to the user in the stream a therapeutic advice conversation stream segment explaining a correlation between th

Abstract: A cognitive intelligence platform including: a first system configured to execute a knowledge cloud, the first system including: a first memory storing instructions that cause the knowledge cloud to: receive inputs from medical facilities; and receive inputs from service providers; a second system configured to implement a critical thinking engine, the second system including: a second memory storing instructions that cause the critical thinking engine to receive inputs from the knowledge cloud; and a third system configured to implement a cognitive agent, the third system including: a third memory storing instructions that cause the cognitive agent to: receive an originating questions from a user related to a subject matter; execute, using the critical thinking engine, a first round of analysis to generate an answer; and provide the answer to the user including a recommendation associated with the subject matter.

Abstract: A device includes a display, a camera, a memory storing a software code, and a hardware processor configured to execute the software code to: configure the device to be in a first mode; receive, from the camera, camera data of an environment surrounding the device; determine that a person is present in the environment based on the camera data; determine that the person is facing the display based on the camera data; and transition the device from the first mode to a second mode, in response to determining that the person is facing the display. The display displays a first content when the device is in the first mode, and displays a second content different than the first content when the device is in the second mode. The second content is configured to provide information about the device to the person without requiring the person to touch the device.

Abstract: Autoscrubbers are capable of being operated in a manual (e.g. walk-behind) mode and an autonomous (operator free) mode and capable of switching between such operational modes. Apparatus and methods for steering such autoscrubbers use steering torque mechanisms to apply steering torques independently to left and right drive wheels. Steering systems for autonomous operation may be retrofit onto existing walk-behind autoscrubbers to implement this functionality. The autonomous control capability may not detract appreciably from an operator's ability to use the autoscrubber in a manual (walk-behind) mode.

Abstract: Autoscrubbers are capable of being operated in a manual (e.g. walk-behind) mode and an autonomous (operator free) mode and capable of switching between such operational modes. Apparatus and methods for steering such autoscrubbers use steering torque mechanisms to apply steering torques independently to left and right drive wheels. Steering systems for autonomous operation may be retrofit onto existing walk-behind autoscrubbers to implement this functionality. The autonomous control capability may not detract appreciably from an operator's ability to use the autoscrubber in a manual (walk-behind) mode.

Abstract: Methods, systems and apparatus for providing a notification of a wet floor are provided. A scrubbing robot for scrubbing a floor and having one or more liquid carrying components has a sensor coupled to it positioned for collecting data about an area of the floor proximate to the scrubbing robot and along a path over which the robot has travelled. An application is stored on the computer for determining that liquid is on the floor by analysing the data for a presence of a second set of parameters corresponding to or crossing (from above to below or from below to above) a set of threshold parameters that is indicative of the presence of liquid on the floor. A notification module coupled to the scrubbing robot issues at least one of a human detectable and a computer detectable notification in response to the application determining that liquid is on the floor.

Abstract: Methods and systems for billing the use of a robot, including methods and systems for reducing a robot's functionality based on a user's account information. In some embodiments, the system comprises a computer readable memory comprising a database with a user's account information, a processor operably coupled to the computer readable memory and to a robot, a checking application stored on the computer readable memory and executable by the processor for determining if the user's account is active based on the account data and a functionality reducing application stored on the computer readable memory executable by the processor for reducing the robot's functionality to a reduced state if the checking application determines the user's account is not active and limiting the robot's functionality to the reduced state until the checking application determines that the user's account is active.

Abstract: A computer-implemented method for answering natural language medical information questions posed by a user of a medical conversational interface of a cognitive artificial intelligence system, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question from the query; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample, where the internal medical concepts include descriptions of medical attributes of the medical data entities; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework for interpreting of the medical question, wherein logical framework comprises a catalog of medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes one or more med

Abstract: Transcoding a file located within a network directly from a file identifier, including: retrieving the file using the file identifier; segmenting the file into a plurality of chunks; and transcoding the plurality of chunks using a distributed transcoder. Key words include segmenting and distributed transcoding.

Abstract: Uploading a file in a distributed manner to a server, including: dividing the file into a plurality of chunks; generating a plurality of aliases to a hostname corresponding to the server; and uploading the plurality of chunks to the plurality of aliases corresponding to the server. Key words include distributed uploading and aliases.