A method and apparatus include receiving a first sentence including a first set of words, and a second sentence including a second set of words. A first set of vectors corresponding to the first set of words of the first sentence, and a second set of vectors corresponding to the second set of words of the second sentence are generated using a word embedding model. A similarity matrix based on the first set of vectors and the second set of vectors is generated. An alignment score associated with the first set of vectors and the second set of vectors is determined using the similarity matrix. The alignment score is transmitted to permit information retrieval based on a similarity between the first sentence and the second sentence.

The vocabulary of pertinent terms used to highlight/filter medical records in a text annotation system is continually updated based on user feedback. To maximize the effectiveness of this updating, feedback is extracted from all users of the system, thereby providing a ‘group-sourced’ vocabulary of pertinent terms. As each user modifies the provided vocabulary of pertinent terms to customize the text annotation system to conform to the user's preferences, the modifications are collected and communicated to the provider of the vocabulary of pertinent terms. The provider of the vocabulary of pertinent terms assimilates the modifications implemented by each user of the word annotation system to determine whether to modify the vocabulary of pertinent terms for subsequent users of the common vocabulary of pertinent terms.

The vocabulary of pertinent terms used to highlight/filter medical records in a text annotation system is continually updated based on user feedback. To maximize the effectiveness of this updating, feedback is extracted from all users of the system, thereby providing a ‘group-sourced’ vocabulary of pertinent terms. As each user modifies the provided vocabulary of pertinent terms to customize the text annotation system to conform to the user's preferences, the modifications are collected and communicated to the provider of the vocabulary of pertinent terms. The provider of the vocabulary of pertinent terms assimilates the modifications implemented by each user of the word annotation system to determine whether to modify the vocabulary of pertinent terms for subsequent users of the common vocabulary of pertinent terms.

Systems and methods for tracking healing progress of multiple adjacent wounds are provided. In one embodiment, a system may include a processor configured to receive a first image of a plurality of adjacent wounds near a form of colorized surface having colored reference elements, determine colors of the plurality of wounds, correct for local illumination conditions, receive a second image of the plurality of wounds near the form of colorized surface, to determine second colors of the plurality of wounds in the second image, match each of the plurality of wounds in the second image to a wound of the plurality of wounds in the first image, and determine an indicator of the healing progress for each of the plurality of wounds based on changes between the first image and the second image.

Systems and methods for tracking healing progress of multiple adjacent wounds are provided. In one embodiment, a system may include a processor configured to receive a first image of a plurality of adjacent wounds near a form of colorized surface having colored reference elements, determine colors of the plurality of wounds, correct for local illumination conditions, receive a second image of the plurality of wounds near the form of colorized surface, to determine second colors of the plurality of wounds in the second image, match each of the plurality of wounds in the second image to a wound of the plurality of wounds in the first image, and determine an indicator of the healing progress for each of the plurality of wounds based on changes between the first image and the second image.

In an embodiment, a method for estimating a composition of food includes: receiving a first three-dimensional (3D) image; identifying food in the first 3D image; determining a volume of the identified food based on the first 3D image; and estimating a composition of the identified food using a millimeter-wave radar.

The disclosure provides a method and a system for automatically discovering an inference rule, a medical knowledge database and a retrieval method. The method includes: acquiring a relation matrix for each medical relation, the relation matrix representing a relationship between vectors of the medical entities having the medical relation; and acquiring the inference rules based on the relation matrices for the plurality of medical relations, each inference rule including a first medical relation, a second medical relation and a third medical relation, the inference rule representing that the third medical relation is inferred from the first medical relation and the second medical relation.

Systems and methods assist in gathering relevant data in a doctor-patient encounter for obtaining a properly specified diagnosis code. In one embodiment, selectable data items which are provided as part of a medical charting program may be correlated with one or more standardized diagnosis codes (e.g. ICD-10 codes). Upon selection of the appropriate data items when charting a patient encounter, one or more diagnosis codes which are correlated with the selected data items may be flagged and/or generated for later use, such as for filing a claim submission as part of a billing process or to further enhance the clinical workflow of patient encounter documentation.

Systems and methods for calculating health care treatment statistics are provided. In one embodiment, a system comprises a data-holding subsystem storing raw medical claims data in non-transitory memory, and a logic subsystem configured to partition the raw medical claims data into a plurality of data sets based on one or more of insurance type, episode grouping, member key, date-of-service key, or a combination thereof, wherein the logic subsystem is further configured to calculate statistics based on each of the plurality of data sets and output correlated calculation results for display on a user device, and wherein the statistics include a frequency of patients receiving a health care service and an average cost of the health care service. In this way, a health care consumer may know what to expect for different treatment options for a given medical condition.

Systems and methods for calculating health care treatment statistics are provided. In one embodiment, a system comprises a data-holding subsystem storing raw medical claims data in non-transitory memory, and a logic subsystem configured to partition the raw medical claims data into a plurality of data sets based on one or more of insurance type, episode grouping, member key, date-of-service key, or a combination thereof, wherein the logic subsystem is further configured to calculate statistics based on each of the plurality of data sets and output correlated calculation results for display on a user device, and wherein the statistics include a frequency of patients receiving a health care service and an average cost of the health care service. In this way, a health care consumer may know what to expect for different treatment options for a given medical condition.