Koninklijke Philips Corporation N.V.

Acuson Corporation

Sri International

Siemens Medical Solutions Usa, Inc.

Cordance Medical Inc.

Carestream Health, Inc.

Innervision Medical Technologies Inc.

Sri Inlernational

Samsung Electronics Co., Ltd.

Bhaskar S Ramamurthy

Robert G Younge

Neal A Tanner

Randall L Schlesinger

Eric Udd

Stuart L Carp

Daniel E Need

Stirling S Dodd

Ismayil M Guracar

Manish Kothari

David J Hedberg

John Douglas Marshall

Mallika Keralapura

John Alexander Hossack

Samuel H Maslak

Supun Samarasekera

Albert Gee

Patrick Denis Lincoln

Gregory L Holley

James W Arenson

Charles E Bradley

Danhua Zhao

Timothy J Davies

John Peter Marcotullio

Jan-Ulco Kluiwstra

Ken Sawatari

J Michael Green

Samual H Maslak

Rakesh Kumar

Thomas P Low

Kutay F Ustuner

Sriram Krishnan

Ting-Lan Ji

Edward A Gardner

Patrick J Phillips

Paul Donald Freiburger

Jeffrey Lubin

Sevig Ayter

Ching-Hua Chou

Constantine Simopoulos

Girish Acharya

Sek Meng Chai

Prasad Narasimha Akella

Seshadri Srinivasan

Mirsaid Seyed Bolorforosh

Rickard C Loftman

Han-Pang Chiu

Bogdan C Matei

Mohamed R Amer

Joan Carol Main

Aswin Nadamuni Raghavan

Timothy J Shields

Dimitra Vergyri

Arvind Jain

David Watters

Jerry D Hopple

David Chao Zhang

John S Wang

Maneesh Yadav

John Brian Burns

Jonathan D Brookshire

Sean Murphy

Fiona C Baker

Massimiliano De Zambotti

Rolf Rando

Aaron J Heller

Shalini Ghosh

Christopher Connolly

Usman Ghani

Laurie Menoud

Mohamad Forouzanfar

Jonathan B Hofius

Douglas Bercow

Bradley J Clymer

Aravind Sundaresan

John Cornwell

Tobenna Arodiogbu

George R Sutherland

David M Hedberg

Ting Lan Ji

Brecken Hu Uhl

Mark Hanson

M&uuml;ge M Bakircioglu

Rajan Singh

Jagjit Singh Srawan

An ultrasound transducer assembly is connectable to an ultrasound system and comprises one or more ultrasound transducer elements supported by a cap. The ultrasound transducer elements are operable to direct ultrasound energy toward brain tissue of a subject and/or to receive echo ultrasound energy when the ultrasound transducer assembly is mounted on the head of the subject. Some embodiments include a fillable jacket coupled to the inner surface of the cap and in acoustic contact with the one or more transducer elements.

Ultrasound transducer assembly

Methods and systems confirm the treatment focus location of ultrasound energy to be delivered to a patient from a plurality of transducers. The location of focus of treatment ultrasound may be confirmed prior to the start of ultrasound therapy. In some embodiments, ultrasound therapy may comprise delivering treatment ultrasound energy from the treatment ultrasound transducers through the skull to the brain of a patient. Methods for confirming the treatment ultrasound focus location comprise determining receive focus profiles ϕfor particular candidate three-dimensional (3D) treatment focus locations and particular assumed ultrasound propagation velocity profiles; performing a pre-treatment (e.g. low-power) ultrasound transmission into the brain of the patient; receiving return signals; and determining the location of treatment focus based at least in part on the received return signals and the receive focus profiles ϕ.

Methods and systems for confirming focus of ultrasound beams

An identification system includes a radar sensor configured to generate a time-domain or frequency-domain signal representative of electromagnetic waves reflected from one or more objects within a three-dimensional space over a period of time and a computation engine executing on one or more processors. The computation engine is configured to process the time-domain or frequency-domain signal to generate range and velocity data indicating motion by a living subject within the three-dimensional space. The computation engine is further configured to identify, based at least on the range and velocity data indicating the motion by the living subject, the living subject and output an indication of an identity of the living subject.

Identification system for subject or activity identification using range and velocity data

An ultrasound treatment system operable to deliver ultrasound energy to a patient's brain, the system comprises a treatment ultrasound transducer comprising a plurality of treatment elements, the treatment ultrasound transducer locatable to deliver ultrasound into the head of the patient. The system further comprises a data store, one or more position sensors configured to detect relative movement between the head of the patient and the treatment ultrasound transducer, and a data processor.

Ultrasound guided opening of blood-brain barrier

Embodiments in accordance with the present disclosure are directed to systems and methods for managing hot flashes and/or menopause symptoms. An example system includes sensor circuitry and logic circuitry. The sensor circuitry obtains a physical measurement associated with a user and communicates the physical measurement. The logic circuitry generates a predictive model that indicates a probability of the user having a hot flash at a date and time based on a plurality of input parameters, revises the probability based on the physical measurement using the predictive model, and communicates data indicative of an action in response to the revised probability being outside a threshold, such as providing cooling relief.

Systems and methods involving predictive modeling of hot flashes

Systems and methods of generating and applying a synthetic neuromodulatory signal are described. A subject may be put under a particular condition that causes an effect in the subject. While the subject is under the condition, a recording of neurogram signals derived from the condition can be made from the subject. For example, neuronal signals traveling on the vagus nerve of the subject may be monitored and recorded. The neurogram may then be used to create a synthetic neuromodulatory signal that can be administered to a user. When the synthetic neuromodulatory signal is administered to the user, the user may experience the same effect as the subject that had been placed in the condition, even though the user was never put under the same condition.

Methods and systems for stimulating nerve signals

A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.

Advanced control system with multiple control paradigms

In general, this disclosure describes techniques for a health management system that schedules medical appointments based on a dialog with a user (e.g., a patient), clinical guideline information, and/or other information. The health management system may engage in a dialog with the user, the dialog including requests from the health management system for audio input to the user device and audio input from the user in response to each request. The health management system may extract information from the audio input and compare the extracted information to clinical guideline information to determine one or more probable health conditions of the user. The health management system may determine a time allotment, identify a health care provider type and a platform for a medical appointment based on the one or more probable health conditions.

Health management system

A system for reviewing results of ultrasound examinations provides enhanced control over reviewed images. A review and imaging system receives additional data comprising one or more of additional ultrasound images generated using parameter settings different from those selected by and sonographer and earlier stage ultrasound data. An ultrasound machine may be configured to acquire and make the additional data available to the review and imaging system. The review and imaging system may provide a wide range of control options for obtaining optimized display of images based on the additional data.

Systems and methods for ultrasound review and imaging

A system for delivering drugs or other molecules to the brain comprises an ultrasound imaging transducer configured to image structures such as the circle of Willis within a patient's head by way of a low attenuation acoustic window. The system includes a processor configured to register the ultrasound images to previously obtained images which also include the structures. The system includes ultrasound transducer elements operable to deliver ultrasound energy to a target region to cause the blood brain barrier to open. The system may include a drug delivery system that may be operated to deliver a drug to the patient in coordination with opening the blood brain barrier. Coordinates of the target region relative to the ultrasound imaging transducer are determined using registration information.

A system comprises one or more observation stations. Each observation station of the one or more observation stations comprises a corresponding set of one or more sensors. Additionally, the system comprises one or more physical machines that implement a computation engine configured to receive first observation data from the one or more observation stations. The computation engine may use the first observation data to train a machine learning system. The computation engine may subsequently use the trained machine learning system to provide feedback regarding an additional instance of the observation subject. The computation engine outputs the feedback.

Computational analysis of observations for determination of feedback

Operations of computing devices are managed using one or more deep neural networks (DNNs), which may receive, as DNN inputs, data from sensors, instructions executed by processors, and/or outputs of other DNNs. One or more DNNs, which may be generative, can be applied to the DNN inputs to generate DNN outputs based on relationships between DNN inputs. The DNNs may include DNN parameters learned using one or more computing workloads. The DNN outputs may be, for example, control signals for managing operations of computing devices, predictions for use in generating control signals, warnings indicating an acceptable state is predicted, and/or inputs to one or more neural networks. The signals enhance performance, efficiency, and/or security of one or more of the computing devices. DNNs can be dynamically trained to personalize operations by updating DNN weights or other parameters.

Systems and methods for optimizing operations of computing devices using deep neural networks

An instrument system that includes an elongate instrument body and an optical fiber sensor is provided. The optical fiber sensor includes an elongate optical fiber that is coupled to the elongate instrument body, wherein a portion of the optical fiber is coupled to the elongate instrument body in a manner to provide slack in the fiber to allow for axial extension of the elongate instrument body relative to the optical fiber.

Instrument systems and methods utilizing optical fiber sensor

A method for providing a real time, three-dimensional (3D) navigational map for platforms includes integrating at least two sources of multi-modal and multi-dimensional platform sensor information to produce a more accurate 3D navigational map. The method receives both a 3D point cloud from a first sensor on a platform with a first modality and a 2D image from a second sensor on the platform with a second modality different from the first modality, generates a semantic label and a semantic label uncertainty associated with a first space point in the 3D point cloud, generates a semantic label and a semantic label uncertainty associated with a second space point in the 2D image, and fuses the first space semantic label and the first space semantic uncertainty with the second space semantic label and the second space semantic label uncertainty to create fused 3D spatial information to enhance the 3D navigational map.

Multi-modal data fusion for enhanced 3D perception for platforms

Growing community of inventors

San Jose, CA, United States of America

Bhaskar S Ramamurthy