A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider fir an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider fir an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

According to one embodiment, a method, computer system, and computer program product for digital-twin-assisted orthodontic treatment is provided. The present invention may include gathering real-time sensor data on an orthodontic arrangement of a patient; updating an orthodontic digital twin corresponding with the orthodontic arrangement with the sensor data; alerting a user of a complication, compliance with an alignment regimen, or suggested orthodontic procedure based on the orthodontic digital twin; and controlling remote elements to adjust forces acting on the orthodontic arrangement.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

An exemplary method and system for a local cloud infrastructure are disclosed for a pressure elastography-based measurement system, e.g., to provide pre-screening/early screening for breast cancer detection and/or mass detection. The exemplary system comprises a local appliance and gateway that provides cloud infrastructure capabilities in a portable manner to be deployable in a doctor's office or clinic. The exemplary system can operate independently, as well as in conjunction with a regional or global cloud infrastructure, to provide electronic medical record capabilities, appointment management capabilities, as well as teleradiology interface capabilities, e.g., to improve examination workflow and reduce overall operation cost.

A system for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance using artificial intelligence. The system includes a computing device designed and configured to receive training data. The computing device is further configured to record at least a biological extraction from a user and generate a diagnostic output. The computing device is further configured to generate a self-fulfillment instruction set utilizing the diagnostic output. The computing device is further configured to receive a user entry containing a completed alimentary self-fulfillment action. The computing device is further configured to update the self-fulfillment instruction set as a function of an alimentary self-fulfillment action.

A system for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance using artificial intelligence. The system includes a computing device designed and configured to receive training data. The computing device is further configured to record at least a biological extraction from a user and generate a diagnostic output. The computing device is further configured to generate a self-fulfillment instruction set utilizing the diagnostic output. The computing device is further configured to receive a user entry containing a completed alimentary self-fulfillment action. The computing device is further configured to update the self-fulfillment instruction set as a function of an alimentary self-fulfillment action.

Method for an AI Powered Automated Analyzer for Displaying Comprehensive Medical Reports, a Supervised Learning ML classifier for Automated Protocol Change, a Reinforcement Learning ML classifier for Predetermined Protocol Change, an iterative or recurrent neural network natural language processor and a successive or recursive neural network natural language processor for medical learning, understanding, prediction, and prescription.

Embodiments of this invention include systems and methods for developing individualized dietary and health improvement plans based on an individual's intestinal microbiome and digestive activity. More particularly, the invention is related to a system providing a hydrogen and/or methane sensor device and a wireless platform in communication with the sensor device to periodically analyze the individual's metabolic activity in correlation with their gut microbiome and a personal database to provide personalized feedback to the individual of treatment plans and general techniques that can be used to improve the individual's general health and well being. The systems and methods further include a system for analyzing the hydrogen and/or methane levels in the individual's exhalations or flatulence in light of the individual's intestinal microbiome. This analysis uses bioinformatics to relate alterations in hydrogen and/or methane levels to the individual's intestinal microbiome and personal diet and tolerances/intolerances to identify and communicate real time dietary suggestions and general dietary and health treatment plans. The relationship of the bioinformatics and alterations in hydrogen and/or methane levels is also used to infer drug effectiveness. Such general dietary guidance, health treatment plans, and drug effectiveness contribute to an overall improvement in a person's general health and well being.