Koninklijke Philips Corporation N.v.

Yuechen Qian

Merlijn Sevenster

Gabriel Ryan Mankovich

Thusitha Dananjaya De Silva Mabotuwana

Ranjith Naveen Tellis

Eric Cohen-Solal

Juergen Weese

Kongkuo Lu

Reinhard Kneser

Dieter Geller

Olga Starobinets

Ye Xu

Daniel Bystrov

Vijay Parthasarathy

Axel Saalbach

Helko Lehmann

Heike Carolus

Lucas De Melo Oliveira

Eran Rubens

Warner Rudolph Theophile Ten Kate

Jochen Peters

Karen Irene Trovato

Robert Manzke

Amir Mohammad Tahmasebi Maraghoosh

Brian David Gross

Alexandra Groth

Ehsan Dehghan Marvast

Lyubomir Georgiev Zagorchev

Wilhelmus Franciscus Johannes Fontijn

Sandeep M Dalal

Michael Chun-Chieh Lee

John Blair

Jozef Pieter Van Gassel

Yugang Jia

Ayman Alalao

Julia Dmitrieva

Michael Chun-chieh Lee

Hareesh Chamarthi

Alexander Sinitsyn

Johannes Buurman

Richard Vdovjak

Ran Cohen

Robbert Christiaan Van Ommering

Thomas Andre Forsberg

Anca Ioana Daniela Bucur

Joost Frederik Peters

Douglas Henrique Teodoro

Xiuye Chen

Qianxi Li

Sabri Boughorbel

Alexander Adrianus Martinus Verbeek

Paola Karina Tulipano

Elizabeth Anne Morre

Matthew A Garlinghouse

Robert M Roth

Thomas W McAllister

Adam Randolph Travis

Eric Zachery Silfen

Bela Fadida

Lior Wolloch

Giselle Rebecca Isner

Ekin Koker

Thusitha Dananjaya De Silva Magotuwana

Sevenster Merlijn

Sandepp Madhukar Dalal

Siva Chaitanya Chaduvula

A non-transitory computer readable medium () stores instructions executable by at least one electronic processor () to perform a remote assistance method (). The method includes: providing a remote assistance interface (') via which a local operator (LO) can receive remote assistance during a medical imaging examination performed by the local operator using a medical imaging device (); prior to or during the medical imaging examination, identifying a handoff () from a first remote expert (RE) assigned to provide the remote assistance during the medical imaging examination to a second remote expert (SRE); generating a representation () containing information about the medical imaging examination; transferring the representation containing information about the medical imaging examination to the second remote expert; and reassigning the medical imaging examination from the first remote expert to the second remote expert.

Effective imaging examination handoffs between users within a radiology operations command center (ROCC) structure

A method () of providing remote monitoring of a local operator (LO) of a medical imaging device () during a medical imaging examination, the method including: mapping image features to medical imaging examinations based at least on timestamps of the image features, the medical imaging examinations to which the image features are mapped including completed medical imaging examinations and a current medical imaging examination; converting the image features mapped to each completed medical imaging examination into a representation () of the completed medical imaging examination and a representation () of a current status of the current medical imaging examination; generating at least one completion time statistic () representing the completion times for the completed medical imaging examinations; and during the current medical imaging examination, displaying the representation of the current status of the current medical imaging examination and the at least one completion time statistic on the workstation.

Actionable visualization by overlaying historical data on a real-time image acquisition workflow overview

A non-transitory computer readable medium () stores instructions executable by at least one electronic processor () to perform a method () for supporting remote experts (RE) in assisting local operators (LO) of respective medical imaging devices () during medical imaging examinations. The method includes: determining, in response to a calling local operator placing a call to a called remote expert, a context of the calling local operator based on at least one feed (W,) of a workspace of the calling local operator; retrieving, from a database (), a view configuration () for a determined user interface (UI) view based on the determined context; and controlling a display device () to display the determined UI view based on the retrieved view configuration.

System and method to intelligently adapt the arrangement of content displays according to workflow context

A system and method for automatically setting image viewing context. The system and method perform the steps of extracting image references and body parts associated with the image references from a report, mapping each of the body parts to an image viewing context so that image references associated are also associated with the image viewing context, receiving a user selection indicating an image to be viewed, determining whether the user selection is one of the image references associated with the image viewing context and displaying the image of the user selection.

Automatically setting window width/level based on referenced image context in radiology report

A system and method for generating a radiological report. The system and method displaying, on a display, an image of a region of interest, determining an image characteristic of the region of interest, determining, via a processor, a recommendation based on the image characteristic, and generating, via the processor, a report including the recommendation.

Systems and methods for generating correct radiological recommendations

The following relates to an improved system and method for displaying medical information. In one aspect, a root concepts circle including at least one clinical concept category is displayed. A children concept ring, which may be built based on a user-selected clinical concept category of the at least one clinical concept categories, may surround or partially surround the root concept circle. A ring fashion timeline may also be displayed, and may be built based on a user-selected clinical concept of the at least one clinical concepts.

Clinical discovery wheel—a system to explore clinical concepts

A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.

Method and system for context-sensitive assessment of clinical findings

A patient monitor () includes a display (). Patient values () are obtained for one or more known variables of a risk prediction function (). One or more unknown variables of the risk prediction function are determined, and at least one hyperplane () is defined as values assumable by the one or more unknown variables. Values of the risk prediction function are computed over the at least one hyperplane using the obtained patient values. A visualization template is selected from a database of visualization templates () using template selection indices including the risk prediction function and the one or more unknown variables. Using the visualization template, a visualization () of the computed values of the risk prediction function over the at least one hyperplane is displayed.

Contextualized patient-specific presentation of prediction score information

A radiology workstation () includes a computer () connected to receive a stack of radiology images of a portion of a radiology examination subject. The computer includes at least one display component () and at least one user input component (). The computer includes at least one processor () programmed to: display selected radiology images of the stack of radiology images on the at least one display component; receive entry of a current radiology report via the at least one user input component and displaying the entered radiology report on the at least one display component; identify a radiology finding by at least one of (i) automated analysis of the stack of radiology images and (ii) detecting textual description of the radiology finding in the radiology report; identify or extract at least one key image from the stack of radiology images depicting the radiology finding; and embed or link the at least one key image with the radiology report.

System and method for automatic detection of key images

A system, method and computer readable storage medium for generating a context driven summary view of medical findings by retrieving a current study including at least one image to be analyzed, extracting current context information from the current study and storing the current context information in a database and matching the current context information with prior context information from prior studies to return a set of relevant prior studies.

Context driven summary view of radiology findings

A system () for detecting and labeling structures of interest includes a current patient study database () containing a current patient study () with clinical contextual information (), a statistical model patient report database () containing at least one or more prior patient documents containing clinical contextual information (), an image metadata processing engine () configured to extract metadata for preparing an input for an anatomical structure classifier (), a natural language processing engine () configured to extract clinical context information () from the prior patient documents, an anatomical structure detection and labeling engine () or processor (), and a display device () configured to display findings from the current patient study. The anatomical structure detection and labeling engine () or processor () is configured to identify and label one or more structures of interest () from the extracted metadata and clinical context information () and aggregate series level data.

Optimized anatomical structure of interest labelling

A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur.

Neurophysiological monitoring for prospective motion gating in radiological imaging

A radiology workstation () includes a display device (), at least one user input device (), and an electronic data processor. The workstation provides an image rendering component () for rendering a radiological image, and a report data entry component () for entry of a radiology examination report () via the at least one user input device and for display of the radiology examination report during entry. The workstation further provides a dynamic checklist component () for storing a queue () of open checklist items, and for: displaying a checklist comprising open checklist items stored in the queue; dynamically analyzing the radiology examination report during entry to identify a checklist update trigger; updating the queue of open checklist items based on the identified checklist update trigger; and updating the display of the checklist to comprise the open checklist items stored in the updated queue.

Communication system for dynamic checklists to support radiology reporting

A system for indicating the quality of a medical report including a medical report system which generates a medical score based on a clinician's interpretation of medical data, a portion of the medical report including text in a natural language; and a medical report grading device which processes the portion of text in natural language and generates one or more scores of one or more categories relating to the quality of the medical report.

System and method for indicating the quality of information to support decision making

A system for correlating patient radiology and pathology reports to track discordance among radiology and pathology diagnoses includes a natural language processor engine which extracts radiological information and pathology information. A correlation module correlates the radiology information and pathology information in a specific time period. A visualization graphical user interface indicates the correlation of radiology information and pathology information in a patient history. A tracking module which tracks misdiagnosis cases.

System and method for correlation of pathology reports and radiology reports

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Briarcliff Manor, NY, United States of America

Yuechen Qian