Systems and methods for distributed ledger-based check verification are disclosed. In one embodiment, a method may include a bank backend computer program: (1) receiving, from a computer application executed by an electronic device, an image of a presented check as part of an electronic check deposit process; (2) performing optical character recognition on the image of the presented check; (3) generating a text file based on the optical character recognition; (4) querying a distributed ledger in a distributed ledger network to determine whether the presented check has been presented or cleared before; (5) determining that the presented check has not been presented or cleared before; (6) processing the presented check for deposit; and (7) writing the text file for the presented check to the distributed ledger.

Systems and methods for generating notifications based on extracted data from documents using a machine learning algorithm. The method includes receiving a document uploaded by a user including data corresponding to the user. The method further includes receiving an indication from the user granting permission to extract the data from the document. The method also includes extracting the data from the document using optical character recognition. The method further includes determining a document type based on the extracted data and document format data using a machine learning algorithm. The method also includes verifying the extracted data based on the determined document type and user data. The method also includes identifying a triggering event corresponding to the document based on the extracted data and the user data. The method further includes generating a notification corresponding to the triggering event.

In one example, a method being performed by a computer system comprises: receiving an image file containing a pathology report; performing an image recognition operation on the image file to extract input text strings; detecting, using a natural language processing (NLP) model, entities from the input text strings, each entity including a label and a value; extracting, using the NLP model, the values of the entities from the input text strings; converting, based on a mapping table that maps entities and values to pre-determined terminologies, the values of at least some of the entities to the corresponding pre-determined terminologies; and generating a post-processed pathology report including the entities detected from the input text strings and the corresponding pre-determined terminologies.

In one example, a method being performed by a computer system comprises: receiving an image file containing a pathology report; performing an image recognition operation on the image file to extract input text strings; detecting, using a natural language processing (NLP) model, entities from the input text strings, each entity including a label and a value; extracting, using the NLP model, the values of the entities from the input text strings; converting, based on a mapping table that maps entities and values to pre-determined terminologies, the values of at least some of the entities to the corresponding pre-determined terminologies; and generating a post-processed pathology report including the entities detected from the input text strings and the corresponding pre-determined terminologies.

Disclosed are an artificial intelligence-based legal document analysis system and method. The present invention can provide relevant laws and detailed explanation by analyzing the legal risk in a legal document having a structure such as legal clauses, terms and conditions and contracts by automatically comprehending the meaning by means of an artificial intelligence technology, and perceiving omissions and erroneous risk elements in the contract.

Disclosed are an artificial intelligence-based legal document analysis system and method. The present invention can provide relevant laws and detailed explanation by analyzing the legal risk in a legal document having a structure such as legal clauses, terms and conditions and contracts by automatically comprehending the meaning by means of an artificial intelligence technology, and perceiving omissions and erroneous risk elements in the contract.

This invention allows for the direct streaming of digital content from an image carrying an embedded unique identification that can be visible, partially visible or concealed, capable of being extracted using AI Imaging recognition and OCR technologies, inclusive those capable of reading concealed information using magnet ink or invisible ink.

This invention allows for the direct streaming of digital content from an image carrying an embedded unique identification that can be visible, partially visible or concealed, capable of being extracted using AI Imaging recognition and OCR technologies, inclusive those capable of reading concealed information using magnet ink or invisible ink.

Systems and methods herein describe transmitting metadata to an augmented reality device using infrared light by receiving a stream of infrared light in real-time from a camera coupled to a head-wearable apparatus, accessing a set of images from the stream of infrared light, generating a set of metadata based on the set of images, generating a plurality of augmented reality content items based on the set of metadata, causing display of the plurality of augmented reality content items on a display device coupled to the head-wearable apparatus as the stream of infrared light is being received.

Systems and methods herein describe transmitting metadata to an augmented reality device using infrared light by receiving a stream of infrared light in real-time from a camera coupled to a head-wearable apparatus, accessing a set of images from the stream of infrared light, generating a set of metadata based on the set of images, generating a plurality of augmented reality content items based on the set of metadata, causing display of the plurality of augmented reality content items on a display device coupled to the head-wearable apparatus as the stream of infrared light is being received.