Abstract: The disclosure provides systems and methods for detecting and managing moving traffic obstacles. In embodiments, a database of historical and potential moving traffic obstacles is generated from vehicle sensor data. The database includes vehicle manoeuvre data and characterizations thereof. The database is used to map moving traffic obstacle locations such that driving aids and autonomous vehicles can account for such obstacles.

Abstract: A method, computer system, and computer program product for a cognitive, real-time feedback speaking coach are provided. The embodiment may include capturing a plurality of text from a prepared document. The embodiment may also include capturing a plurality of user voice data and a plurality of user movement data. The embodiment may further include calculating a speaker rating based on the plurality of received user voice data, the plurality of received user movement data, and the plurality of captured text. The embodiment may also include identifying one or more points of improvement based on the calculated speaker rating. The embodiment may further include alerting a user of the one or more identified points of improvement.

Abstract: Systems and methods are provided for collaborative decision-making in medicine. The systems can employ a distributed record-keeping and verification system to solicit suggested modifications to an initial healthcare regime from interested healthcare workers. The systems can aggregate the suggested modifications and use a consensus algorithm to determine the most appropriate modification.

Abstract: A computer system may create a language model corpus including multilingual alignment for training a combined language model and train (or pre-train) the combined language model. The computer system may create an adverse medication reaction corpus to include adverse medication reaction utterances and label an N-gram of an utterance in the adverse medication reaction utterances as a response to query, for multiple N-grams. The computer system may generate a code-mixed utterance model to perform code-mixed utterances in a turn by turn dialogue, by at least adding additional output layer including at least a start vector, language vector, and a query vector including at least the labeled N-gram, which are additional to the combined language model's predicted next words.

Abstract: A comfortability-tension threshold for a user is determined and a current pose of the user and a determined optimal pose are compared. The current pose and the determined optimal pose are mapped to an angle for adjusting on-screen content of a display of the computer system and the on-screen content of the display of the computer system is adjusted based on the angle.

Abstract: A bias detection method, system, and computer program product include creating a context of an applicant based on a profile of the applicant and a context of a reviewer based on a profile of the reviewer, predicting a probability of overlapping data points between the applicant and the reviewer, building enriched embeddings for a deep learning model based on the context of the applicant, the context of the reviewer, the overlapping data points, and text from a review and a final decision by the reviewer, and calculating a bias score via a deep learning model run over the enriched embeddings.

Abstract: A method of operating a support system includes enabling electronic communications with at least one senor of user conditions and at least one database of user activity, collecting, via the electronic communications, a plurality of data points from the sensor and the database, determining a context of the user, calculating at least one affinity score of the user for each of at least one patient, predicting a risk of passive illness associated with the user, identifying, using the risk of passive illness, an amelioration action, and outputting a signal reducing the risk of the passive illness.

Abstract: A Parkinson's disease treatment method, system, and computer program product, including administering a game to a user, monitoring a Parkinson's disease sign and a Parkinson's disease symptom based on a result of the user playing the game, adjusting treatment of the user depending on the Parkinson's sign and the Parkinson's symptom, and suggesting a tailored rehabilitation exercise for the user based on the treatment.

Abstract: Methods and systems for monitoring an ongoing procedure are described. In an example, a processor can receive a first set of data indicating a current context of a procedure being performed by a first entity on a second entity. The processor can determine a first score based on the first set of data, where the first score can indicate an effectiveness of the procedure. The processor can identify a set of requirements based on the first score. The set of requirements can be associated with a second score indicating a target effectiveness of the procedure. The processor can generate a recommendation for the first entity to perform the set of requirements to achieve the second score.

Abstract: Identify an emergency patient's potential emergency contacts and their social relationships by processing the patient's Internet footprint with a first natural language processing algorithm. Identify the emergency patient's possible health context by processing at least one of the emergency patient's Internet footprint and diagnostic data with a second natural language processing algorithm. Link at least one item of the emergency patient's possible health context to at least one linked emergency contact, who is selected from the potential emergency contacts using a sorting module that is trained to associate types of medical conditions with attributes of emergency contacts. Verify the at least one item of the emergency patient's possible health context by contacting the at least one linked emergency contact. Aggregate a verified health profile for the emergency patient based on at least one response provided by the at least one linked emergency contact.

Abstract: An apparatus obtains participant sentiment data including at least one of: a text conversation between a participant and an investigator in a clinical trial; a video conversation between the participant and the investigator; and the participant's social network information; extracts and normalizes a sentiment score from the participant sentiment data; generates a compliance score for the participant by using a trained regressor on at least the sentiment score; compares the compliance score to a lower threshold and to a higher threshold; selects an action from a decision tree in response to the compliance score; and facilitates the action.

Abstract: A bias detection method, system, and computer program product include creating a context of an applicant based on a profile of the applicant and a context of a reviewer based on a profile of the reviewer, predicting a probability of overlapping data points between the applicant and the reviewer, building enriched embeddings for a deep learning model based on the context of the applicant, the context of the reviewer, the overlapping data points, and text from a review and a final decision by the reviewer, and calculating a bias score via a deep learning model run over the enriched embeddings.

Abstract: Systems and methods are provided for collaborative decision-making in medicine. The systems can employ a distributed record-keeping and verification system to solicit suggested modifications to an initial healthcare regime from interested healthcare workers. The systems can aggregate the suggested modifications and use a consensus algorithm to determine the most appropriate modification.

Abstract: A method includes: receiving a diagnosis of a medical condition; retrieving encoded guidelines for pharmaceutical treatment corresponding to the diagnosis; in response to the encoded guidelines, generating a list of recommended medications with related information; modifying the list of recommended medications, in response to personal context data obtained from at least one of a wearable device, a smart pill bottle, a patient health wallet, and an electronic health record; further modifying the list of recommended medications in response to environmental context data; generating an ordered list of recommended medications by yet further modifying the list of recommended medications in response to a patient similarity analysis; providing to a prescriber the ordered list of recommended medications; developing a logistical plan including a mode of delivery for one of the recommended medications; and programming an autonomous device to implement the mode of delivery.

Abstract: In a given computing node comprising at least one processor operatively coupled to a memory and implemented in a given vehicle, the method comprises obtaining at the given computing node data from at least one of: (i) one or more sensors on the given vehicle; (ii) one or more computing nodes associated with one or more other vehicles via at least one vehicle-to-vehicle communication protocol; and (iii) one or more data sources along the path of the given vehicle. The given computing node utilizes at least a portion of the obtained data to compute a risk assessment for the given vehicle with respect to an operational safety level of a proposed vehicle action. The given computing node initiates or prevents the proposed vehicle action for the given vehicle based on the computed risk assessment.

Abstract: A guideline annotation method, system, and computer program product, include extracting a medical data point from a medical guideline, determining an attribute context of the medical data point, finding a related literature to the medical guideline, determining an expert practice as a difference between the medical guideline and an expert operating procedure, and annotating and outputting a new medical guideline including the related literature and the expert practice.

Abstract: In a given computing node comprising at least one processor operatively coupled to a memory and implemented in a given vehicle, the method comprises obtaining at the given computing node data from at least one of: (i) one or more sensors on the given vehicle; (ii) one or more computing nodes associated with one or more other vehicles via at least one vehicle-to-vehicle communication protocol; and (iii) one or more data sources along the path of the given vehicle. The given computing node utilizes at least a portion of the obtained data to compute a risk assessment for the given vehicle with respect to an operational safety level of a proposed vehicle action. The given computing node initiates or prevents the proposed vehicle action for the given vehicle based on the computed risk assessment.

Abstract: Systems and methods for detecting gaps in netting include constructing a depth map from electromagnetic signals associated with netting surrounding an area, the depth map including measurements of distance of each strand of the netting along an axis perpendicular to a plane formed by the netting relative to the detector. Each segment of netting is identified including each strand of the netting in a side of the netting facing the detector. Locations of gaps in the netting are identified according to the depth map. A user is alerted to the presence and locations of gaps by sending a communication to a computing device.

Abstract: Methods are provided for personalizing and optimizing a medication regime for a patient. For example a method involves generating a medication regime for one or more prescribed medications associated with a patient as input via a user interface; personalizing the generated medication regime for the patient via the user interface; generating a regime planner from the personalized medication regime for the patient via the user interface; and forwarding a reminder to the patient to take the prescribed one or more medications from the generated regime planner via the user interface, wherein the steps of the method are performed in accordance with a processor and a memory.

Abstract: A method, computer system, and computer program product for a cognitive, real-time feedback speaking coach are provided. The embodiment may include capturing a plurality of text from a prepared document. The embodiment may also include capturing a plurality of user voice data and a plurality of user movement data. The embodiment may further include calculating a speaker rating based on the plurality of received user voice data, the plurality of received user movement data, and the plurality of captured text. The embodiment may also include identifying one or more points of improvement based on the calculated speaker rating. The embodiment may further include alerting a user of the one or more identified points of improvement.