Abstract: A patient-customized electrode array (EA) includes a plurality of electrodes, {Ei}, assembled in a pre-curved form, wherein the curvature of the EA at the i-th electrode Ei is characterized with a curvature that matches the curvature of the i-th point Pi of a structure curve in the cochlea of a patient where the i-th electrode Ei is to be placed, wherein i=1, 2, 3, . . . N, N is an integer greater than zero.

Abstract: A computer-implemented method is for the correction of streak artifacts in slice images. In an embodiment, the method includes: receiving at least one initially reconstructed slice image by a processor, the at least one initially reconstructed slice image being based on a plurality of initial projection images; determining at least one variation slice image, via the processor, using a variation algorithm, the at least one variation slice image being based on the at least one initially reconstructed slice image; determining at least one variation projection image based upon the at least one variation slice image; and determining at least one corrected slice image as a function of the at least one variation projection image.

Abstract: An electromagnetic (EM) probe for monitoring at least one biological tissue. The EM probe comprises a spiral antenna conductor (not shown) and an EM radiation absorbing layer (92) mounted along the antenna. The EM radiation absorbing layer has a plurality of substantially concentric frame shaped regions (93A-C) corresponding to portions of said spiral antenna having equal surface of antenna conductor, any of said plurality of concentric frame shaped regions has an EM radiation absorption coefficient different than any other of said neighboring concentric frame shaped regions.

Abstract: Devices and systems used to ablate tissue of a tumor using laser energy are disclosed. The devices and systems include a laser probe and a magnetic resonance (MR) safe temperature probe. The MR safe temperature probe includes an optical sensor. A bone anchor fixture separates the laser probe and the MR safe temperature probe to prevent interference in the MR safe temperature probe data. Proton Resonance Frequency (PRF) thermometry is used to model a temperature of a pixel of an MR image located adjacent the optical sensor. The modeled pixel temperature and the measured temperature are compared and monitored. Exceeding a threshold difference value causes an intervening action to occur.

Abstract: Aspects of the present disclosure relate to systems, devices and methods for performing a surgical step or surgical procedure for example with visual guidance using a head mounted display or with a surgical navigation system or with a surgical robot. A computer processor can be configured to determine the pose of a first vertebra with an attached first marker and a second vertebra with an attached second marker. The computer processor can be configured to determine the pose of at least one vertebra interposed or adjacent to the first and second vertebrae with attached markers, e.g. fiducial markers.

Abstract: An information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to perform an image generating process of generating a plurality of medical images on the basis of a plurality of imaging parameter groups, the plurality of imaging parameter groups being updated by adversarial learning. The processing circuitry is configured to perform a discriminating process of discriminating whether or not each of the plurality of medical images is a target image acquired by a first medical imaging apparatus in the adversarial learning. The processing circuitry is configured to output one of the imaging parameter groups used for generating the medical images in the image generating process when the adversarial learning has converged.

Abstract: A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for visualizing complex connectome interactions relevant to a medical condition. One of the methods includes receiving brain data for a brain of a patient, processing the brain data to determine multiple brain parcels that are predicted to be relevant to a medical condition, determining, for each of multiple brain parcels that are predicted to be relevant to the medical condition, a respective brain network affiliation, and providing, to a user device of a user, data for displaying a visualization that includes one or more respective brain network affiliations determined for each of multiple brain parcels that are predicted to be relevant to the medical condition.

Abstract: A system includes an expandable distal-end assembly, a proximal position sensor, a distal position sensor, and a processor. The expandable distal-end assembly is coupled to a distal end of a shaft for insertion into a cavity of an organ of a patient. The proximal and distal position sensors are located at a proximal end and a distal end of the distal-end assembly, respectively. The processor is configured to estimate a position and a longitudinal direction of the proximal sensor, and a position of the distal sensor, all in a coordinate system used by the processor. The processor is further configured to project the estimated position of the distal sensor on an axis defined by the estimated longitudinal direction, and calculate an elongation of the distal-end assembly by calculating a distance between the estimated position of the proximal sensor and the projected position of the distal sensor.

Abstract: Methods, computer systems, and computer-storage medium are provided for providing closed-loop intelligence. A selection of data is received, at a cloud service, from a database comprising data from a plurality of sources in a Fast Healthcare Interoperability Resources (FHIR) format to build a data model. After a feature vector corresponding to the data model is extracted, a selection of an algorithm for a machine learning model to apply to the data model is received. A portion of the selection of data is utilized for training data and test data and the machine learning model is applied to the training data. Once the model is trained, the trained machine learning model can be saved at the cloud service, where it may be accessed by others.

Abstract: A method for generating an intraoperative 3D brain model while a patient is operated. Before an opening in a patient's skull is made, the method includes: providing a preoperative 3D brain model of a patient's brain and converting it to a preoperative 3D brain point cloud; providing a preoperative 3D face model of a patient's face and converting it to a preoperative 3D face point cloud. After the opening in the patient's skull is made, the method includes: matching the intraoperative 3D face point cloud with the preoperative 3D face point cloud to find a face point transformation; transforming the intraoperative 3D brain point cloud based on said face point cloud transformation; comparing the intraoperative 3D brain point cloud with the preoperative 3D brain point cloud to determine a brain shift; and converting the preoperative 3D brain model to generate an intraoperative 3D brain model based on said brain shift.

Abstract: Upon receiving list-mode data by detecting radiation emitted from a radiation source positioned with a field of view of a medical imaging scanner, each photon included in the list-mode data can be classified according to one or more interaction properties, such as energy or number of crystals interacted with. Grouped pairs of photons can be generated based on the classifying, and a corresponding interaction-property-specific correction kernel (e.g., a corresponding interaction-property-specific point spread function correction kernel) can be selected for each group. Corresponding interaction-property-specific correction kernels can then be utilized to generate higher quality images.

Abstract: A portable magnetic resonance imager has a probe. One or more magnets are disposed in the probe, creating at least one magnetic field to precess protons at a target. A magnetometer disposed in the probe has a light source and a nitrogen vacancy diamond. The light source projects a light on the nitrogen vacancy diamond. The nitrogen vacancy diamond fluoresces in response to the light. A photodetector detects the fluorescence and produces a signal in response thereto indicative of the decaying of precessing protons having precessed in the presence of the one or more magnets.

Abstract: This disclosure relates generally to medical devices, systems, and methods for locating devices and/or anatomy during medical procedures. More particularly, in some embodiments, the disclosure relates to medical device and/or anatomy locating devices, access devices, and systems and methods thereof, for use during, e.g., gastrojejunostomy procedures. In an aspect, a medical device locator may include an elongate member (such as sheath or guidewire) having a proximal end, a distal end, a longitudinal axis, and a length extending along the longitudinal axis. A location device may be disposed along the length of the elongate member.

Abstract: A scanner includes a camera, a light source for generating a probe light incorporating a spatial pattern, an optical system for transmitting the probe light towards the object and for transmitting at least a part of the light returned from the object to the camera, a focus element within the optical system for varying a position of a focus plane of the spatial pattern on the object, unit for obtaining at least one image from said array of sensor elements, unit for evaluating a correlation measure at each focus plane position between at least one image pixel and a weight function, a processor for determining the in-focus position(s) of each of a plurality of image pixels for a range of focus plane positions, or each of a plurality of groups of image pixels for a range of focus plane positions, and transforming in-focus data into 3D real world coordinates.

Abstract: An apparatus for generating a three-dimensional (3D) model of cardiac anatomy via machine-learning, wherein the apparatus includes a process and a memory containing instructions configuring the processor to receive a set of images of a cardiac anatomy pertaining to a subject, generate an 3D data structure representing the cardiac anatomy as a function of the set of images using a cardiac anatomy modeling model, generate an initial 3D model of the cardiac anatomy, refine the generated initial 3D model of the cardiac anatomy as a function of the 3D data structure representing the cardiac anatomy, and generate a subsequent 3D model of the cardiac anatomy as a function of the refinement.

Abstract: Example refrigerators having internal content cameras, and methods of operating the same are disclosed. A disclosed example refrigerator includes a cabinet, an internal compartment disposed within the cabinet, a closing member operatively coupled to the cabinet providing selective access to the internal compartment, two cameras disposed in the compartment and positioned to capture images of different portions of the compartment, two light sources disposed in the compartment, and a controller communicatively coupled with the cameras and light sources and configured to control the light sources to provide two different illuminations for respective ones of the two cameras.

Abstract: Systems, devices, and methods for controlling cooperative surgical instruments with variable surgical site access trajectories are provided. Various aspects of the present disclosure provide for coordinated operation of surgical instruments accessing a common surgical site from different approach and/or separate body cavities to achieve a common surgical purpose. For example, various methods, devices, and systems disclosed herein can enable the coordinated treatment of tissue by disparate minimally invasive surgical systems that approach the tissue from varying anatomical spaces and must operate differently, but in concert with one another, to effect a desired surgical treatment.

Abstract: Systems and methods are disclosed for identifying a diagnostic feature of a digitized pathology image, including receiving one or more digitized images of a pathology specimen, and medical metadata comprising at least one of image metadata, specimen metadata, clinical information, and/or patient information, applying a machine learning model to predict a plurality of relevant diagnostic features based on medical metadata, the machine learning model having been developed using an archive of processed images and prospective patient data, and determining at least one relevant diagnostic feature of the relevant diagnostic features for output to a display.

Abstract: Surgical systems, navigation systems, and methods involving a robotic manipulator configured to control movement of an instrument to facilitate a surgical procedure. The navigation system includes a camera unit configured to optically track a pose of the instrument and a non-optical sensor coupled to the instrument. The navigation system includes a computing system coupled to the camera unit and being configured to obtain readings from the non-optical sensor. The computing system detects a condition whereby the camera unit is blocked from optically tracking the pose of the instrument. In response to detection of the condition, the computing system tracks the pose of the instrument with the readings from the non-optical sensor.

Abstract: A method of performing a therapy on a prostate of a patient via transperineal access. The therapy uses an ultrasound probe. The method includes positioning a pair of stabilization members of a needle guide adjacent the perineum. The pair of stabilization members spaced apart from each other and supporting a platform configured to slide along a portion of a length of the pair of stabilization members. The needle guide is coupled to the ultrasound probe. The method further includes coupling an access needle to the platform, and sliding the platform and the access needle relative to the pair of stabilization members and the ultrasound probe so the access needle extends into the perineum. And the method further includes, using the access needle as a conduit, injecting a radiation blocking substance between the rectum and the prostate.

Abstract: Disclosed are techniques to navigate soft tissue structures based on preoperative imaging for joint arthroplasty. Particular embodiments are useful for direct anterior approach total hip arthroplasty but may be applicable in other approaches and/or other surgical procedures. In some embodiments, the patient is imaged with MRI safe markers on the skin prior to surgery. These markers remain on the patient prior to and during surgery. The position of various muscular, venous, and nervous structures can be provided to the surgeon prior to making the incision, allowing him or her to navigate the soft tissue during dissection.

Abstract: A system may comprise a processor and a memory having computer readable instructions stored thereon. The computer readable instructions, when executed by the processor, cause the system to record position data for an instrument during an image capture period and determine an instrument position change from the recorded position data. The computer readable instructions, when executed by the processor, may also cause the system to compare the instrument position change to a position change threshold and based on the comparison, determine whether to use image data captured by an imaging system during the image capture period in a registration procedure.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: A micro impulse radar (MIR) system includes art MIR transceiver circuit configured to transmit, towards a subject, at least one transmitted radar signal, and receive at least one radar return signal. The system includes a control circuit configured to generate a control signal defining a radar signal parameter of the at least one transmitted radar signal, provide the control signal to the MIR transceiver circuit to cause the MIR transceiver circuit to transmit the at least one transmitted signal based on the radar signal parameter, and determine, based on the at least one radar return signal, a physiological parameter of the subject.

Abstract: A magnetic manipulation system and method for moving and navigating a magnetic device in a body are provided. The system includes a robotic parallel mechanism having at least three electromagnets and at least three electromagnetic coils coupled to the at least three electromagnets, respectively. The electromagnetic coils are actuated to keep the electromagnets in static conditions or move the electromagnets along a desired trajectory, a current control unit supplying currents to the electromagnetic coils which have soft iron cores. The currents supplied by the control unit are configured to generate dynamic magnetic field in the soft iron core's linear region. The current control unit and the robotic parallel mechanism are configured to generate desired dynamic magnetic fields in desired positions within a workspace to control a magnetic device, and a three-dimensional position sensor is configured for performing a close loop control of the robotic parallel mechanism.

Abstract: This invention describes how users can capture digital artifacts from any medical device using their mobile device. Some examples of medical devices included, but are not limited to a medical ID card, Medical ID bracelet, Electronic Medical Records, blood pressure machines, blood glucose, scales, inhalers, INR, prescription bottles and trays, pulse oximeter, etc. Digital artifacts included, but are not limited to a medical ID, basic patient information, patient contact information, emergency contact information, primary care physician information, health insurance information including co-pay and deductibles, prescriptions, office visit summary, appointment cards, Electronic Medical Records (EMR), lab results, blood type, organ/donor status, vital signs, diagnostic data, immunization records, payments and transaction history, pictures, etc.

Abstract: Disclosed herein are a microbubble-extracellular vesicle complex, a production method therefor, and a system for driving the same. In one aspect, preferred microbubble-extracellular vesicle complexes may comprise an ultrasound contrast agent-based microbubble, an extracellular cell derived from a natural killer cell (NK cell), a human glial cell, or a human mesenchymal stem cell, and a coupling medium and can be derive in a 3D mode using ultrasonic waves and deliver a drug loaded in the extracellular vesicle to a target site.

Abstract: A method for automatic detection of a medical instrument orientation for robotic surgery is presented. The method determines the orientation of a marker device attached to the medical instrument in relation to the robotic system by comparing movement information. The method compares the information about a movement of the marker device from a tracking system with the information about a movement of the robotic arm, which movement data can be acquired by the robotic system. The orientation of the medical instrument with respect to the robotic system can be determined automatically and used for subsequent calculations such as an automatic and efficient precise alignment to a target trajectory or a correct positioning assistance for a mechatronic arm. A computer-implemented medical method of automatically determining an orientation of a medical instrument base in relation to a robotic system is provided.

Abstract: The present invention provides a system and a computer-implemented method for generating at least one 4-dimensional medical image segmentation for at least one structure of a human heart. The method includes the steps of: providing a first 4-dimensional medical image comprising the at least one structure of the human heart, the medical image being based on a computed tomography scan image; generating a segmentation of at least part of the provided first 4-dimensional medical image using at least one first trained artificial neural network, wherein the at least one first trained artificial neural network is configured as a convolutional processing network with U-net architecture; and generating at least one 4-dimensional medical image segmentation for the at least one structure of the human heart based at least on the segmentation generated by the at least one first trained artificial neural network.

Abstract: A system or method according to at least one embodiment of the present disclosure includes receiving a preoperative image of a patient in a first posture; receiving an intraoperative image of the patient in a second posture; comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture; and determining, based on comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture, a difference between the first posture and the second posture, the adequate surgical changes are imparted to the second posture to achieve satisfactory surgical outcome.

Abstract: The present invention relates to positioning of stents or other medical interventional devices. In order to provide an improved marker detection suitable for smaller markers, a device (10) for positioning a medical interventional device is provided. The device comprises a data input interface (12), a data processing unit (14) and a data output interface (16). The data input interface is configured to provide at least one image of a region of interest of a subject. In the at least one image, at least a part of a guiding apparatus for a medical interventional device is arranged in the region of interest, which part of the guiding apparatus comprises at least one apparatus position marker visible in the at least one image. Further, in the at least one image, a medical interventional device is arranged at least partly in the region of interest, which medical interventional device comprises device position markers, which are less visible in the image than the at least one apparatus position marker.

Abstract: A motor organ disease prediction device includes at least one processor, in which the processor derives a bone mineral density of a target bone among bones included in a subject including a bone part and a soft part, a muscle mass around the target bone, shape information representing a shape of the target bone, and shape information representing a shape of a bone adjacent to the target bone from a first radiation image and a second radiation image acquired by imaging the subject by radiation having different energy distributions. The processor derives a probability of occurrence of a motor organ disease relating to the target bone from the bone mineral density of the target bone, the muscle mass around the target bone, the shape information of the target bone, and the shape information of the bone adjacent to the target bone.

Abstract: An insert-type electromagnetic flow sensor is disclosed. The flow sensor comprises an insert, first and second electrodes supported on opposite sides of the insert and a drive coil housed in the insert. The drive coil is offset from a midpoint between the first and second electrodes and/or a width of the drive coil between the first and second opposite sides at least partially overlaps with respective inner portions of the first and second electrodes. The drive coil includes at least five turns.

Abstract: An example system for demonstrating at least one aspect of an orthopedic surgical procedure includes a first device and a second device. In this example, the first device is configured to display a presentation to a first user, wherein the presentation includes one or more virtual elements and wherein the one or more virtual elements comprise a three-dimensional (3D) virtual representation of one or more anatomical features associated with the orthopedic surgical procedure. In this example, the second device is configured to display the presentation to a second user. In this example, the one or more virtual elements demonstrate at least one aspect of the orthopedic surgical procedure and wherein control of at least some of the one or more virtual elements are assignable from the first device to the second device.

Abstract: A computer-implemented method includes obtaining, via a processor, segmented image patches of a vessel along a coronary tree path and associated coronary flow distribution for respective vessel segments in the segmented image patches. The method also includes determining, via the processor, a pressure drop distribution along an axial length of the vessel from the segmented image patches and the associated coronary flow distribution. The method further includes determining, via the processor, critical points in the pressure drop distribution. The method even further includes detecting, via the processor, a presence of a stenosis based on the critical points in the pressure drop distribution.

Abstract: A method for training a machine learning algorithm that classifies predictive regions-of interest (“ROI”) of progression of idiopathic pulmonary fibrosis. The method includes acquiring a set of computed tomography (CT) images of a plurality of patients and selecting a plurality of ROIs within the set of images. Each of the ROIs designates a label that indicates progression of pulmonary fibrosis and training a machine learning algorithm by inputting the plurality of ROIs and the associated labels into the algorithm. The algorithm identifies the ROIs in the set of images as indicating regions of pulmonary fibrosis within the set of images based on the features.

Abstract: An aspect relates to a placement device for placement in a medium, including: an elongated optical transmission guide to which a photoacoustic transducer is attached to, wherein the photoacoustic transducer may include a first surface facing away from the second end of the elongated optical transmission guide. The photoacoustic transducer may include a 3-Dimensional shape configured to produce an acoustic signal upon absorption of electromagnetic energy received from the elongated optical transmission guide, and an emission profile of the acoustic signal is based on the 3-Dimensional shape, when the photoacoustic transducer is immersed in homogeneous medium. The placement device may be integral to a medical or veterinary device. An aspect relates to a placement tracking system including the placement device and an ultrasound detector. An aspect relates to a method for tracking a portion of a placement device in a medium using the system.

Abstract: There is disclosed a method and system for predicting a likelihood that a patient is subject to one or more conditions. Retinal signal data corresponding to the patient may be received. Retinal signal features may be extracted from the retinal signal data. Descriptors may be extracted from the retinal signal features. The descriptors may be applied to a first mathematical model and a second mathematical model. The first mathematical model may correspond to a first condition. The second mathematical model may correspond to ta second condition. A first predicted probability for the first condition may be generated. A second predicted probability for the second condition may be generated. The first predicted probability and the second predicted probability may be output.

Abstract: An example method may include acquiring images from cameras, each having a known position and orientation with respect to a spatial coordinate system of an augmented reality (AR) device. The acquired images may include portions of a multi-modal marker device that includes at least one tracking sensor having a three-dimensional position that is detectable in a coordinate system of a tracking system. A three-dimensional position is estimated for the portions of the multi-modal marker device with respect to the spatial coordinate system of the AR device based on each of the respective acquired images and the known position and orientation of the cameras with respect to the spatial coordinate system of the AR device. The method also includes computing an affine transform configured to register the coordinate system of the tracking system with a visual space of a display that is in the spatial coordinate system of the AR device.

Abstract: Various examples of embodiments of the invention generally relate to automating a clinical workflow, the clinical workflow including an analysis of one or more medical datasets and generation of a medical report based on the analysis. For example, machine-learning algorithms may be used for the analysis. The medical report may be generated based on one or more report templates.

Abstract: A dynamic analysis system processes a dynamic image obtained by irradiation of a subject from a radiation irradiation apparatus and by dynamic imaging on dynamics of the subject detected by a detector. The dynamic analysis system includes a hardware processor that performs position correction of the dynamic image by eliminating an effect of displacement of the subject in a direction perpendicular to a detector plane.

Abstract: Systems and methods are provided for imaging of soft and hard tissues with ultrasound. Such systems and methods can provide for non-contact and quantitative ultrasound images of bone and soft tissue. A method for imaging a biological body segment of soft and hard tissues includes setting geometry and material properties according to a model of the biological body segment to thereby generate a simulated time series data set. The method further includes collecting reflective and transmissive time series data of the biological body segment to thereby form an experimental time series data set and minimizing a difference between the simulated time series data set and the experimental time series data set, thereby imaging the biological body segment. Regularizing travel-time and/or using full waveform tomographic techniques with level set methods enable recovery of cortical bone geometry.

Abstract: Various methods and systems are provided for medical imaging. In one embodiment, a method for an interventional imaging procedure comprises identifying a medical device during insertion of the medical device within a subject based on live images of the insertion, extrapolating a trajectory of the medical device during the insertion in real-time based on the live images of the insertion, and displaying the extrapolated trajectory of the medical device on the live images.

Abstract: A method for characterising an epicardial region using medical imaging data of a subject. The method comprises calculating the value of an epicardial radiomic signature of the epicardial region using the medical imaging data. Also disclosed is a method for deriving an epicardial radiomic signature indicative of cardiac health. The method comprises using a radiomic dataset to construct an epicardial radiomic signature. Also disclosed are systems for performing the aforementioned methods.

Abstract: The methods, process, and apparatus of the present invention produces a structurally representative organ model using magnetic resonance imaging scan information of a organ and a patient's medical history and physiology. This is accomplished by mathematically convolving the scan information with a second order ranked tensor matrix encoded with the patient's physiological information as it relates to the scanned organ and their medical profile. The convolved scan information and encoded matrix are computer processed to produce a 3D printer driver file which is used to print a structurally representative organ model conforming to the patient's physiology.

Abstract: Exemplary scope systems and methods involve a cannula assembly, a sheath assembly, and a tubing set. A cannula assembly, which may be a non-magnetic scope cap assembly, can include a cannula body, a proximal housing having a strap, an optical window, and a luer for suction or flushing. A cannula body may include a first lumen or scope channel for receiving a visualization device such as an endoscope or laparoscope, a distal end having suction or flushing flush apertures, and a second lumen for providing fluid communication between the apertures and the luer. Exemplary magnetic introducer systems and methods involve a cannula assembly, a sheath assembly, a tubing set. In some cases, the cannula assembly of a magnetic introducer system can be a magnetic scope cap assembly. In addition to cannula and sheath assemblies, magnetic introducer systems can include a magnetic introducer tubing assembly and a stylet assembly.

Abstract: Exemplary embodiments provide systems and methods for portable medical ultrasound imaging. Preferred embodiments utilize a tablet touchscreen display operative to control imaging and display operations without the need for using traditional keyboards or controls. Certain embodiments provide ultrasound imaging system in which the scan head includes a beamformer circuit that performs far field sub array beamforming or includes a sparse array selecting circuit that actuates selected elements. Exemplary embodiments also provide an ultrasound engine circuit board including one or more multi-chip modules, and a portable medical ultrasound imaging system including an ultrasound engine circuit board with one or more multi-chip modules. Exemplary embodiments also provide methods for using a hierarchical two-stage or three-stage beamforming system, three dimensional ultrasound images which can be generated in real-time.

Abstract: A method and system for performing online adapted radiotherapy are provided using combined ultrasound and ionizing radiation induced acoustic imaging (iRAI) computed tomography imaging techniques that can be used for measurement of low to ultrahigh dose deliveries (>40 Gy/s). Multiplexed transducers detect US and iRAI signals allowing for anatomical/functional imaging and radiation mapping with absolute dosimetry measurements of a region of interest during a radiotherapy session. Corrections to radiation dosage intensities and locations is determined and provided as feedback to a radiation source to improve the accuracy of applied radiation dosages intra- or inter-radiotherapy treatment sessions preventing the irradiation of healthy tissues and ensuring the accurate delivery of radiation to a tumor or region of interest.

Abstract: Introduced here approaches to developing, training, and implementing algorithms to cardiac dysfunction through automated analysis of physiological data. As an example, a model may be developed and then trained to quantify left and right ventricular dysfunction using electrocardiogram waveform data that is associated with a population of individuals who are diverse in terms of age, gender, ethnicity, socioeconomic status, and the like. This approach to training allows the model to predict the presence of left and right ventricular dysfunction in a diverse population. Also introduced here is a regression framework for predicting numeric values of left ventricular ejection fraction.