G16Z99/00

Systems and methods for estimating histological features from medical images using a trained model

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.

Systems and methods for estimating histological features from medical images using a trained model

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.

SYSTEMS AND METHODS FOR PROVIDING MULTIPLE CARBON OFFSET SOURCES
20230008123 · 2023-01-12 ·

Method and system for providing carbon offset sources. For example, the method includes determining an amount of total carbon emission of a user, receiving a desired percentage of carbon offset, determining a total number of carbon offset units corresponding to a predetermined carbon offset source, providing multiple carbon offset sources, receiving a respective number of carbon offset units corresponding to the predetermined carbon offset source for each of the multiple carbon offset sources, determining a respective cost for each of the multiple carbon offset sources, and providing a total amount of cost based upon the respective cost for each of the multiple carbon offset sources, where a total of the respective number of carbon offset units is equal to the total number of carbon offset units.

METHOD AND SYSTEM FOR MONITORING INTOXICATION

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

METHOD AND SYSTEM FOR MONITORING INTOXICATION

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

PROXIMITY-BASED MOBILE-DEVICE UPDATES OF ELECTRONIC HEALTH RECORDS
20230215530 · 2023-07-06 · ·

A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.

PROXIMITY-BASED MOBILE-DEVICE UPDATES OF ELECTRONIC HEALTH RECORDS
20230215530 · 2023-07-06 · ·

A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.

Image acquisition for medical dose preparation system
11551798 · 2023-01-10 · ·

Use of improved image acquisition for a medical dose preparation system. The medical dose preparation system may include a work station for capturing medical dose preparation images (e.g., to document preparation of a mediation dose). The medical dose preparation image may be captured by a video data stream processor capable of performing an auto cropping technique on a video data stream received from an image device. Accordingly, memory resources may be more efficiently employed while maintaining high quality medical dose preparation images.

Image acquisition for medical dose preparation system
11551798 · 2023-01-10 · ·

Use of improved image acquisition for a medical dose preparation system. The medical dose preparation system may include a work station for capturing medical dose preparation images (e.g., to document preparation of a mediation dose). The medical dose preparation image may be captured by a video data stream processor capable of performing an auto cropping technique on a video data stream received from an image device. Accordingly, memory resources may be more efficiently employed while maintaining high quality medical dose preparation images.

Electronic patient sitter management system and method for implementing

An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.