Abstract: Devices, systems, and methods for detecting unexpected movement of a surgical instrument during a robot-assisted surgical procedure are provided. The surgical robot system may be configured to measure forces and torques experienced by the surgical instrument during the surgical procedure and determine if the forces and torques are within an acceptable range. The robot system is further configured to notify the user of the presence of the unexpected movement.

Abstract: Systems, methods, and other techniques for monitoring, including non-invasive monitoring, of biological markers based on the interaction, temporal association, or coincidence of brain activity and periphery activity in a mammal are provided. Systems and methods for generating a behavioral state-independent representation of cardiac activity and for identifying cardiac events and/or brain-periphery, e.g., brain-cardiac, temporal associations useful as biomarkers of disease such as, e.g., neurologic disease, in a mammal are also provided.

Abstract: An apparatus for event detection is provided. The apparatus comprises an error signal determiner for determining an error signal portion depending on a pressure signal. The error signal determiner determines a predicted signal portion depending on a first signal portion of the pressure signal. The error signal determiner also determines the error signal portion depending on the predicted signal portion and depending on a second signal portion of the pressure signal, wherein the second signal portion of the pressure signal succeeds the first signal portion of the pressure signal in time. The apparatus also comprises a classifier for determining, depending on the error signal portion, whether an event of a group of one or more events has occurred or whether no event of the group has occurred.

Abstract: A method for visible cephalometric measurement is provided. The method comprises: acquiring a data item to be measured according to a preset analysis method, and acquiring preset reference information; determining a measurement reference point according to the acquired preset reference information; and generating a measurement result based on the measurement reference point and the data item to be measured, and displaying it. A computer processing device and a visible cephalometric system are also provided. The computer may automatically generate measurement results according to user's selection and perform cephalometric measurement more easily, accurately, and more efficiently.

Abstract: Methods, systems, and computer-storage media are provided for facilitating the care of a patient by a multi-disciplinary care team. A graphical user interface presents one or more clinical problems associated with a patient. For each clinical problem, actionable care team icons are presented that, among other things, identify care teams responsible for caring for the clinical problem and any actions taken by the care teams to address the clinical problem.

Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.

Abstract: Embodiments provided herein provide for customized previews of electronic documents. A template for a particular electronic document may be identified based on document attributes and/or usage parameters. The identified template may define pertinent data to be extracted from structured documents. Portions of documents, including unstructured documents can be provided as a preview such as by rendering an area of the document such as one defined in the template by coordinates or pixels. In this regard, individual users or user groups may configure what data is displayed in a document preview such as by selecting fields and/or by specifying locations of interest within the document. Users can view listings of documents and their respective previews such that the desired document may be identified without rendering complete documents.

Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.

Abstract: A method in a computing device for quantitative surgical image registration includes: prior to a surgical procedure, obtaining, using a first imaging modality, a preoperative image of patient tissue and a plurality of preoperative measurements of a material property of the patient tissue. The preoperative measurements correspond to respective points in the preoperative image. The method includes storing the preoperative image and the preoperative measurements, and during the surgical procedure, using a second imaging modality, capturing an intraoperative image of the patient tissue and a second plurality of intraoperative measurements of the material property of the patient tissue. The intraoperative measurements correspond to respective points in the intraoperative image.

Abstract: A method and system for detecting the onset of seizures comprising a measuring unit having one or more sensors for detecting the electromyographic signal of one or more muscles of the user. The sensors are connected to a pre-processing module comprising a high-pass filter which filters out noise and motion artefacts related to normal muscle activities. The pre-processing module is connected to a feature extraction module comprising a threshold detector which counts the number of crossings with a hysteresis within a predetermined time window. The feature extraction module is connected to a classification module which compares the extracted features to a first and second threshold and generates an event signal if the extracted features are above the first and second threshold.

Abstract: Systems and methods set forth herein may aid in identifying and disrupting undesirable outcomes. The system may include computer readable media; an electronic input device; an output device; a processor in data communication with the input device and the output device; and electronic instructions. The electronic instructions, when executed by the at least one processor, perform steps for: automatically storing event data from the electronic input device in the computer readable media; actuating the output device to graphically display the event data; determining if the event data qualifies as a critical event; storing the critical event data as outcome data in the computer readable media; accessing the event data and outcome data; determining at least one correlation between the event data and the outcome data; actuating the output device to display an intervention to aid in disrupting future critical events; and storing the intervention in the computer readable media.

Abstract: The present invention relates to an intelligent surgery system. According to one embodiment of the present invention, provided is an intelligent surgery system that comprises: a data-matching unit that receives, from an information-collecting apparatus, data on a part of the body of a patient that is to undergo surgery, and searches for control data matching the data on the part of the body to undergo surgery on the basis of a data-matching matrix; and a surgery control unit, which enables surgery tools or suturing devices to operate in accordance with the control data from the data-matching unit.

Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.

Abstract: A method in a computing device for quantitative surgical image registration includes: prior to a surgical procedure, obtaining, using a first imaging modality, a preoperative image of patient tissue and a plurality of preoperative measurements of a material property of the patient tissue. The preoperative measurements correspond to respective points in the preoperative image. The method includes storing the preoperative image and the preoperative measurements, and during the surgical procedure, using a second imaging modality, capturing an intraoperative image of the patient tissue and a second plurality of intraoperative measurements of the material property of the patient tissue. The intraoperative measurements correspond to respective points in the intraoperative image.

Abstract: A Multimodality Brain Mapping System (MBMS), comprising one or more scopes (e.g., microscopes or endoscopes) coupled to one or more processors, wherein the one or more processors obtain training data from one or more first images and/or first data, wherein one or more abnormal regions and one or more normal regions are identified; receive a second image captured by one or more of the scopes at a later time than the one or more first images and/or first data and/or captured using a different imaging technique; and generate, using machine learning trained using the training data, one or more viewable indicators identifying one or abnormalities in the second image, wherein the one or more viewable indicators are generated in real time as the second image is formed. One or more of the scopes display the one or more viewable indicators on the second image.

Abstract: A method and system to evaluate image-guided dental implant treatment plans with error simulation. Error sources contributing to the inaccuracy of implant cases come from impressions, stone models, radiographic guides, CT scan and its image processing, surgical guides, as well as the surgical procedures. They are translated into the deviations between the planned and actual implant positions and orientations. The error simulation is to continuously modify and update treatment plans with the possible deviations so that the treatment plans can be visually evaluated along with other evaluation tools.

Abstract: Various embodiments may provide methods and systems capable of evaluating physiological parameter data. The methods and systems may include a receiver capable of collecting a signal representative of a physiological status of a patient, a plurality of data analysis components, wherein each of the plurality of data analysis components is capable of generating a metric based on the signal, and an arbitrator communicatively coupled to each of the plurality of data analysis components and capable of generating a single metric from the metrics generated by the plurality of data analysis components.

Abstract: A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

Abstract: This document discusses, among other things, a system capable of resolving interactions between programmable parameters for operation of a medical device. Programming these devices is a difficult task when many parameters are involved. The disclosed systems and methods attempt to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input or calculated automatically, and constraint violations describing invalid parameter values. If possible, a set of parameter values with less egregious constraint violations is generated and may be displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Abstract: Methods for evaluating and treating patients for dysphagia are provided. In a general embodiment, the method comprises screening the patient for dysphagia symptoms, diagnosing and categorizing the dysphagia if the patient exceeds a threshold of dysphagia symptoms, choosing the proper dysphagia treatment product based the patient's dysphagia, and giving the patient preparation instructions for the dysphagia treatment product.

Abstract: A portable ultrasound imaging system includes a scan head coupled by a cable to a portable battery-powered data processor and display unit. The scan head enclosure houses an array of ultrasonic transducers and the circuitry associated therewith, including pulse synchronizer circuitry used in the transmit mode for transmission of ultrasonic pulses and beam forming circuitry used in the receive mode to dynamically focus reflected ultrasonic signals returning from the region of interest being imaged.

Abstract: Detecting patterns in sensed implantable medical device (IMD) data is described. One implementation involves an IMD that includes a data-driven pattern detection network embodied on the IMD to detect a pattern from sensed patient data. The IMD also includes one or more algorithms embodied on the IMD to utilize the pattern to effect patient therapy.

Abstract: The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

Abstract: This document discusses, among other things, a system capable of resolving interactions between programmable parameters for operation of a medical device. Programming these devices is a difficult task when many parameters are involved. The disclosed systems and methods attempt to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input or calculated automatically, and constraint violations describing invalid parameter values. If possible, a set of parameter values with less egregious constraint violations is generated and may be displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Abstract: A method and apparatus are disclosed that reduces variation in radiation therapy treatment planning among plurality of users within the same or different geographic locations. The system includes a method and an apparatus that provide users with the knowledge information and utilizing the knowledge information to contour target volumes for radiation treatment planning. The mode of operation includes utilizing a stand-alone workstation or a server computer connected to the plurality of thin client workstations.

Abstract: The systems and methods described herein provide for fast and accurate image segmentation through the application of a multi-stage classifier to an image data set. An image processing system is provided having a processor configured to apply a multi-stage classifier to the image data set to identify a distinctive region. The multi-stage classifier can include two or more component classifiers. The first component classifier can have a sensitivity level configured to identify one or more target regions in the image data set and the second component classifier can have a specificity level configured to confirm the presence of the distinctive region in any identified target regions. Also provided is a classification array having multiple multi-stage classifiers for identification and confirmation of more than one distinctive region or for the application of different classification configurations to the image data set to identify a specific distinctive region.

Abstract: A method of automatically determining which type of treatment is most appropriate for (or the physiological state of) a patient. The method comprises transforming one or more time domain measurements from the patient into frequency domain data representative of the frequency content of the time domain measurements; processing the frequency domain data to form a plurality of spectral bands, the content of a spectral band representing the frequency content of the measurements within a frequency band; forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the spectral bands; determining the type of treatment (or physiological state) based on the weighted sum.

Abstract: According to one embodiment there is provided a method of selecting a plurality of M atlases from among a larger group of N candidate atlases to form a multi-atlas data set to be used for computer automated segmentation of novel image data sets to mark objects of interest therein. A set of candidate atlases is used containing a reference image data set and segmentation data. Each of the candidate atlases is segmented against the others in a leave-one-out strategy, in which the candidate atlases are used as training data for each other. For each candidate atlas in turn, the following is carried out: registering; segmenting; computing an overlap; computing a value of the similarity measure for each of the registrations; and obtaining a set of regression parameters by performing a regression with the similarity measure being the independent variable and the overlap being the dependent variable.

Abstract: A method of finding the location of an occluded portion of a blood vessel relative to a three-dimensional angiographic image of a subject's vasculature includes identifying the location of the occluded portion of the blood vessel on each of a series of displayed two dimensional images derived from the three dimensional image data in planes substantially transverse to direction of the occluded portion of the vessel. The identified locations in the occluded portion of the vessel can then be used to determine the path of the occluded portion of the vessel.

Abstract: Physician interactive workstations with global cardiac voxel distribution visualization may also include one or more of a 3-D color scale image of a population of voxel in the heart and/or an electronic boundary-tracing tool configured to accept user input to electronically define at least one boundary of a target region of a heart in a medical image of a patient on a display. The workstation may be configured to evaluate intensity of voxels associated with tissue within the defined boundary of the target region of the heart whereby cardiotoxicity is evaluated.

Abstract: A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

Abstract: A system for implementing a cardiac device having adaptive treatment therapies utilizing a neural network based learning engine is disclosed. The system includes an implantable cardiac device module and an external data processing system for specifying the operating characteristics of the cardiac device module. Both the cardiac device module and the external processing system possess an artificial neural network to specify the operation of the cardiac device module as it provides adaptive treatment therapies. The external data processing system includes a complete neural network module that trains and validates the operation of the neural network to match the optimal treatment options with a received set of collected patient data. A runtime neural network module that provides real time operation of the neural network using collected patient data is located within the cardiac device module. The cardiac device module and the external processing module are connected via a communication link.

Abstract: This document discusses, among other things, a user interface capable of resolving interactions between programmable parameters for operation of a personal medical device. Programming these devices is a difficult task when many parameters are involved. The medical device interface attempts to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input, and constraint violations describing invalid parameter values. A user is given the option to select one or more parameters to remain constant. If possible, a set of parameter values with less egregious constraint violations is displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Abstract: A method of training a subject to improve anticipatory timing includes presenting the subject with multiple sequences of stimuli, receiving sensor signals associated with responses by the subject to the stimuli, and recording response times in accordance with the sensor signals, wherein the recorded response times are associated with the responses by the subject to the multiple sequences of stimuli, and wherein the response times have an associated distribution. The method further includes analyzing the distribution of response times for the subject to determine variability in anticipatory timing of the subject with respect to the stimuli, and generating a subject feedback signal corresponding to a result of the analyzing so as to train the subject to improve anticipatory timing of the subject. Also disclosed is a system for performing the aforementioned training method.

Abstract: CAD (computer-aided diagnosis) systems and applications for breast imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.

Abstract: This document discusses, among other things, a user interface capable of resolving interactions between programmable parameters for operation of a personal medical device. Programming these devices is a difficult task when many parameters are involved. The medical device interface attempts to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input, and constraint violations describing invalid parameter values. A user is given the option to select one or more parameters to remain constant. If possible, a set of parameter values with less egregious constraint violations is displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Abstract: A healthcare management system and method identify individuals at risk of high near-term healthcare use. On step of the method includes collecting information from an individual for a predetermined set of predictive factors. Another step of the method includes assigning, based upon the information from the individual, a separate value to each predictive factor of the predetermined set of predictive factors. The method further includes the step of generating, based upon a predetermined predictive model and the separate values assigned to the predetermined set of predictive factors, a risk level of the individual utilizing healthcare services at a predetermined level within a prospective time span.

Abstract: An interactive computer assisted method compiles comprehensive health care information on patients in a central repository, assesses and analyzes this information, and identifies high utilizers of health care services using a computer and a user associated therewith. The method includes the steps of creating a central repository of various databases containing patient information, including demographic information and behavior, and optionally the results of a core survey of health status questions. The invention optionally involves the step of determining the appropriate core questions and the criteria to determine whether and when to ask certain questions of particular patients based on their response to prior questions.

Abstract: A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

Abstract: Heart monitor signals indicating a patient's heart characteristics are amplified without affecting the signal characteristics. The amplified heart monitor signals with atypical characteristics are transmitted to a pattern recognition platform which stores the patient's previously provided signals with atypical characteristics. The patient's present and previously provided signals with atypical characteristics are compared to select the previously provided signals with characteristics closest to those of the presently provided signals. Database signals identifying different types of heart problems in third parties and having characteristics closest to the patient's selected atypical signals are chosen. Dependent upon the severity of the patient's heart problems identified by the chosen database signals, the monitor transmits the chosen database signals to an individual one of the patient's doctor, the patient's hospital and an emergency care facility.

Abstract: Patients are evaluated in terms of various physiological parameters such as hemodynamic parameters. Covariate information indicative of the patient's individual characteristics may also be determined. A state variable indicative of the patient's characteristics is determined. This state variable is used to compare the patient to other patients in the database. The other patients in the database are evaluated in terms of similar parameters and their probability of survival as well as different treatments and the probability of survival based on those different treatments. The patient may be simply evaluated based on the database or a proper course of treatments may be determined based on the database.

Abstract: The present invention aims at permitting numerous user terminals to share protocols as common resources. A vendor terminal or user terminal registers a pair of a protocol and a medical image, which is produced during scanning performed according to the protocol, by recording data in a protocol/medical image database included in a protocol management server. The user terminal acquires a medical image from the protocol management server over a network, and displays it on a display device. Moreover, the user terminal downloads a required protocol from the protocol management server and sets it in a medical diagnostic imaging system.

Abstract: Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator that is supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Abstract: Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator and automatically supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Abstract: a System for calculating and emitting analytical data, particularly medically relevant analytical data, has a computer with an evaluation unit for analyzing information entered by the system user and for generating the analytical data, and an output medium provided at the user side. The evaluation unit is configured for interrogating and accepting information that can be entered at the user side such that the information can be entered autonomously by the user based on a number of inquiries which are predefined at the system side, and which can be selected with reference to each response, and which can be made available as an output to user via the output medium. The evaluation unit is configured for controlling an interactive information capture such that, depending on the running information compilation, specific inquiries can be formulated and shown to the user.

Abstract: The present invention proposes a method for calculating, presenting, and combining probabilistic functional maps (PFMs) of the human brain representing the probability of structures existing. The method comprises three major steps: reading of data containing the coordinates of contacts, calculating the PFMs, and presenting the PFMs. The data can be read from a file in text or binary format or from a database as local or remote client. The PFM calculation comprises the following steps: forming 3D models of contacts, normalizing the contact models, voxelizing the contact models, calculating an atlas function, and calculating the PFM. The PFM can be presented alone or along with anatomical atlases. Both 3D and 2D interfaces can be used for presentation. The proposed method also includes different ways of combining the contact data and/or existing PFMs from multiple sources. This mechanism is the basis of an internet portal for stereotactic and functional neurosurgery.

Abstract: One embodiment discloses a computerized method of facilitating cardiac intervention, comprising inputting patient data, creating a computerized interactive model of a heart based on the patient data, wherein the model comprises features, simulating at least one proposed cardiac intervention treatment by adding or deleting features to the model, and determining the effects of the proposed cardiac simulation upon the entire model. Simulations may be repeated to allow the user to determine an optimal cardiac intervention. Additionally, a template may be created from the model to use as a guide during the cardiac intervention.

Abstract: Diet evaluation gastric apparatus (18) is provided, which detects when a patient (10) swallows, and detects the type and amount of matter ingested. The apparatus includes electrodes (74, 100) adapted to be coupled to the fundus and antrum of the patient and to measure electrical and mechanical activity therein, and a control unit (90) to analyze such electrical and mechanical activity and optionally apply electrical energy to modify the activity of tissue of the patient.

Abstract: A computer implemented system for the production of medical records, legal documents and other frequently produced semi-technical documents. This is accomplished by generating an intelligent computer-guided interview and the use of serialized scriptable objects. Major program elements include a knowledge base text file, a parse engine, and an execution module. The knowledge base uses a unique rule syntax. The parse engine converts the textual knowledge base file to a compiled binary representation which can then be interpreted by the execution module. The execution module leads the user through the interview by generating a series of questions and presents possible answers in the form of pick lists. The data is recorded with a computer pen and collated into a document file. This file is coded in binary format and can be written to and recalled from disk. If the file is recalled from disk the user can continue to answer questions or change answers previously given.

Abstract: A real-time glucose estimator uses a linearized Kalman filter to determine a best estimate of glucose level in real time. The real-time glucose estimator receives at least one measurement corresponding to glucose level. The measurement can be obtained with one or more sensors and is provided to the linearized Kalman filter in real time. The linearized Kalman filter has dynamic models and executes a recursive routine to determine the best estimate of glucose level based upon the measurement. Additional information can be provided to the linearized Kalman filter for initialization, configuration, and the like. Outputs of the linearized Kalman filter can be provided to a patient health monitor for display or for statistical testing to determine status of the real-time glucose estimator. The real-time glucose estimator can be implemented using a software algorithm.