Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: Disclosed herein are a surgical system for patella tracking and a method for selecting a properly-sized patellar implant utilizing the same. The surgical system may include first and second trackers and a patellar tracking system. The first tracker may be configured to contact an unresected or a resected patella, and the second tracker may be configured to contact a bone. The patellar tracking system may be configured to track the first and second trackers during patellar flexion and extension to generate patellar range of motion and patellar trial range of motion. A method for selecting a patellar implant may utilize the first and second trackers and the patellar tracking system.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can capture one or more interactions with an existing user interface displayed within a display screen. Embodiments of the present invention can then, in response to reaching a threshold level of interactions, dynamically generate an alternate user interface comprising one or more alternate interaction methods. Embodiments of the present invention can then overlay the alternate user interface over the existing user interface.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: Identifying and reducing package delivery risks can include receiving, at a computer, package delivery data for a package to be delivered. Package delivery factors can be determined which include package fragility. Product information and product reviews can be analyzed based on the factors, and the analyzing can include using natural language processing to evaluate the product information and product reviews to identify language related to the factors. The factors can be weighted based on the analysis of the product information and the product reviews based on a probability of risk of damage to the package. A package risk score is calculated based on the analysis and the weighting. A best delivery practice for the package is generated based on the package risk score, and the package risk score and best delivery practice is communicated to a device of a delivery person.

Abstract: Aspects for resolving failed user-interface functionality are described. One or more processors are configured for detecting a first user input having a first input magnitude at user-selectable elements displayed on a local device user-interface, determining that the local device user-interface is not responsive to the first user input; detecting a second user input having a second input magnitude that is greater than the first input magnitude at the user-selectable elements, wherein the first user input and the second user input are by the user; determining that the local device user-interface is not responsive to the second user input; transmitting first data corresponding to a user-interface offload prompt to a mobile device associated with the user, wherein the mobile device is within a predetermined proximity of the local device user-interface; and receiving second data corresponding to a plurality of mobile device user inputs from the mobile device.

Abstract: Aspects for resolving failed user-interface functionality are described. One or more processors are configured for detecting a first user input having a first input magnitude at user-selectable elements displayed on a local device user-interface, determining that the local device user-interface is not responsive to the first user input; detecting a second user input having a second input magnitude that is greater than the first input magnitude at the user-selectable elements, wherein the first user input and the second user input are by the user; determining that the local device user-interface is not responsive to the second user input; transmitting first data corresponding to a user-interface offload prompt to a mobile device associated with the user, wherein the mobile device is within a predetermined proximity of the local device user-interface; and receiving second data corresponding to a plurality of mobile device user inputs from the mobile device.

Abstract: Aspects of the present disclosure relate to wireless communication management. A set of sensor data can be collected by a first device paired to a second device using a wireless communication (WC) protocol. The set of sensor data can be analyzed to determine whether a rule for adjusting a WC activation threshold is satisfied, the WC activation threshold defining a distance at which the first device and second device are permitted to transfer data to each other. The WC activation threshold can be adjusted in response to determining that the rule for adjusting the WC activation threshold is satisfied.