An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services. In response to a medical service order, a cost estimation and notification module can receive information associated with the medical service order. The cost estimation and notification module can determine the patient cost responsibility and quickly notify the patient of the costs. The patient can use the determined cost information to decide whether to move forward with the ordered medical tests.

An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services. In response to a medical service order, a cost estimation and notification module can receive information associated with the medical service order. The cost estimation and notification module can determine the patient cost responsibility and quickly notify the patient of the costs. The patient can use the determined cost information to decide whether to move forward with the ordered medical tests.

One or more example embodiments of the present invention relates to methods and apparatuses for providing a medical report in a medical network having a front-end computing facility and a back-end computing facility.

One or more example embodiments of the present invention relates to methods and apparatuses for providing a medical report in a medical network having a front-end computing facility and a back-end computing facility.

Systems and methods are provided for predictive assessment of driver perception abilities based on driving behavior personalized to the driver in connection with, but not necessarily, autonomous and semi-autonomous vehicles. In accordance with on embodiment, a method comprises receiving first vehicle operating data and associated first gaze data of a driver operating a vehicle; training a model for the driver based on the first vehicle operating data and the first gaze data, the model indicating driving behavior of the driver; receiving second vehicle operating data and associated second gaze data of the driver; and determining that an ability of the driver to perceive hazards is impaired based on applying the model to the second vehicle operating data and associated second gaze data.

A mechanism is provided for implementing a dynamic context-based collaborative medical concept interpreter for automatically generating and presenting summarized explanations of medical concepts. The dynamic context-based collaborative medical concept interpreter performs natural language processing on a real-time patient-provider communication to identify one or more medical concepts referred to in the communication. The dynamic context-based collaborative medical concept interpreter adjusts one or more previous explanations for the one or more medical concepts referred to in the communication using a set of contextual factors. The dynamic context-based collaborative medical concept interpreter generates an abstractive summary that summarizes ranked explanations of the one or more medical concepts based on an original language used in the one or more previous explanations. The dynamic context-based collaborative medical concept interpreter presents, in real time, the abstractive summaries of the one or more medical concepts to the patient and the provider in real-time patient-provider communication.

This patent provides a method and apparatus for acquiring imagery with improve spatial resolution through an apparatus called a “light painting imaging device”. Other aspects of this invention correct for barrel distortion and pincushion distortion.

A controller (122, 910/920) for interventional procedure optimization includes a processor (12210, 910) and a memory (12220, 920) that stores instructions. When executed by the processor, the instructions cause the controller (12210, 910) to implement a process that includes identifying (S210) anatomical characteristics from pre-interventional imagery of anatomy for each of multiple candidate types of an interventional procedure for the anatomy and comparing (S220) the anatomical characteristics with tool characteristics of candidate tools to use in each of the candidate types. The process also includes generating (S240) a feasibility report for each of the candidate types based on the identifying and the comparing. Each feasibility report includes a feasibility grade for each of the candidate types. The process also includes selecting (S260), based on the feasibility reports, an optimal interventional procedure type among the candidate types. An interventional procedure is performed on the anatomy using the optimal interventional procedure type based on the selecting (S260).

A controller (122, 910/920) for interventional procedure optimization includes a processor (12210, 910) and a memory (12220, 920) that stores instructions. When executed by the processor, the instructions cause the controller (12210, 910) to implement a process that includes identifying (S210) anatomical characteristics from pre-interventional imagery of anatomy for each of multiple candidate types of an interventional procedure for the anatomy and comparing (S220) the anatomical characteristics with tool characteristics of candidate tools to use in each of the candidate types. The process also includes generating (S240) a feasibility report for each of the candidate types based on the identifying and the comparing. Each feasibility report includes a feasibility grade for each of the candidate types. The process also includes selecting (S260), based on the feasibility reports, an optimal interventional procedure type among the candidate types. An interventional procedure is performed on the anatomy using the optimal interventional procedure type based on the selecting (S260).

Provided is a cloud platform system for reading a medical image, the cloud platform system including: multiple image processing modules pre-programmed to perform preprocessing of the medical image and modularized; multiple artificial intelligence modules in which an artificial intelligence algorithm is pre-programmed and modularized; multiple layer modules in which layers applied to a configuration of the artificial intelligence algorithm are modularized by function; a learning model design unit providing a graphical user interface for designing an artificial intelligence-based learning model to a user terminal that has had access through a web browser; and a reading model generation unit generating a reading model by training the learning model designed by the learning model design unit.