公开(公告)号：US20240347213A1

公开(公告)日：2024-10-17

申请号：US18733065

申请日：2024-06-04

申请人： GLYTEC, LLC

发明人： Robert C. Booth ,  Harry Hebblewhite

IPC分类号： G16H70/20 ,  G16H10/60 ,  G16H20/10 ,  G16H20/17 ,  G16H50/00 ,  G16H50/20

CPC分类号： G16H70/20 ,  G16H10/60 ,  G16H20/10 ,  G16H20/17 ,  G16H50/00 ,  G16H50/20

摘要： A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

公开(公告)号：US12106848B2

公开(公告)日：2024-10-01

申请号：US17373229

申请日：2021-07-12

申请人： Overjet, Inc.

发明人： Wardah Inam ,  Robert Faiella ,  Shaju Puthussery ,  Samet Taspinar ,  Alexander Albert Joseph Jelicich ,  Deepak Ramaswamy

IPC分类号： G06T7/00 ,  G16H40/20 ,  G16H50/00 ,  G16H50/20 ,  G16H50/70

CPC分类号： G16H40/20 ,  G06T7/0012 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/30168

摘要： Disclosed are implementations that include a method for dental data analysis including obtaining dental data for an individual, with the dental data being input radiographic image data of at least one dental object, and treatment data representative of one or more treatment procedures associated with the dental object, analyzing, by machine learning models, the input radiographic image data to identify one or more dental features associated with the dental object, and deriving, based on the treatment data and the identified one or more dental features, one or more integrity scores for the image data and the treatment data, with the one or more integrity scores being representative of potential integrity problems associated with the input radiographic image data and the treatment data. Deriving the integrity scores includes deriving a provider score representative of a potential integrity problem associated with a dental-care provider submitting the treatment data.

公开(公告)号：US12106833B2

公开(公告)日：2024-10-01

申请号：US16235857

申请日：2018-12-28

申请人： CERNER INNOVATION, INC.

发明人： Manoj Satishkumar ,  Nishchitha Subraya Gowda ,  Subhadeep Das

IPC分类号： G06F16/954 ,  G06F16/955 ,  G16H10/60 ,  G16H50/00

CPC分类号： G16H10/60 ,  G06F16/954 ,  G06F16/955 ,  G16H50/00

摘要： Methods, computer readable media, and systems for providing a Unified Medical Record (UMR) Cloud Network that takes maintenance and access of patient-centric healthcare records to the next level by providing a healthcare-provider-specific app store in a healthcare web portal by utilizing Fast Healthcare Interoperability Resources (FHIR) resources are provided. The UMR Cloud Network serves as a patient web portal which hosts a provider-specific FHIR App Store. The FHIR apps that reside in the provider-specific FHIR App Store may be designed to utilize patient-centric data and the subject patient's associated FHIR resources to provide individual solutions. In embodiments, the FHIR apps installed from the provider-specific FHIR App Store may be presented on a dashboard associated with the subject patient and provided by the UMR Cloud Network.

公开(公告)号：US12051485B2

公开(公告)日：2024-07-30

申请号：US17212964

申请日：2021-03-25

申请人： Nant Holdings IP, LLC

发明人： Patrick Soon-Shiong

IPC分类号： G16H50/00 ,  G16B50/00 ,  G16B50/30 ,  G16H50/20 ,  G16H80/00 ,  G16Z99/00

CPC分类号： G16B50/30 ,  G16B50/00 ,  G16H50/20 ,  G16H80/00 ,  G16Z99/00

摘要： The inventive subject matter provides apparatus, systems, and methods that improve on the pace of discovering new practical information based on large amounts of datasets collected. In most cases, anomalies from the datasets are automatically identified, flagged, and validated by a cross-validation engine. Only validated anomalies are then associated with a subject matter expert who is qualified to take action on the anomaly. In other words, the inventive subject matter bridges the gap between the overwhelming amount of scientific data which can now be harvested and the comparatively limited amount analytical resources available to extract practical information from the data. Practical information can be in the form of trends, patterns, maps, hypotheses, or predictions, for example, and such practical information has implications in medicine, in environmental sciences, entertainment, travel, shopping, social interactions, or other areas.

公开(公告)号：US12025615B2

公开(公告)日：2024-07-02

申请号：US16647434

申请日：2018-09-13

申请人： Arizona Board of Regents on behalf of Arizona State University

发明人： Stephen Johnston

IPC分类号： G01N31/00 ,  C07K16/28 ,  G01N33/53 ,  G01N33/543 ,  G01N33/574 ,  G16B40/00 ,  G16H10/40 ,  G16H20/00 ,  G16H50/00 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  C07K14/705 ,  G16H10/60

CPC分类号： G01N33/574 ,  C07K16/2818 ,  C07K16/2827 ,  G01N33/543 ,  G16B40/00 ,  G16H10/40 ,  G16H20/00 ,  G16H50/00 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  C07K14/70503 ,  C07K14/70521 ,  C07K16/2803 ,  C07K2317/76 ,  G01N2800/52 ,  G01N2800/60 ,  G16H10/60

摘要： Provided herein are methods for classifying how a subject having a cancer will respond to immunotherapeutic (IT) therapy based on the subject's immunosignature or frameshift signature. Also provided herein are methods for classifying a subject having a cancer as having a good prognosis or a poor prognosis based on the subject's immunosignature or frameshift signature.

公开(公告)号：US11929170B2

公开(公告)日：2024-03-12

申请号：US16548289

申请日：2019-08-22

申请人： Kenneth Neumann

发明人： Kenneth Neumann

IPC分类号： G06N20/00 ,  G06F18/2113 ,  G06F18/214 ,  G06N3/08 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G16B40/00 ,  G16H20/00 ,  G16H50/00 ,  G16H50/20 ,  G16H50/30

CPC分类号： G16H50/20 ,  G06F18/2113 ,  G06F18/214 ,  G06N3/08 ,  G06N20/00 ,  G06V10/764 ,  G06V10/774 ,  G06V10/7784 ,  G06V10/7788 ,  G16B40/00 ,  G16H20/00 ,  G16H50/00 ,  G16H50/30

摘要： A system for selecting an ameliorative output using artificial intelligence includes at least a server configured to receive at least a prognostic output. At least a server is configured to generate a plurality of ameliorative outputs as a function of at least a prognostic output wherein the plurality of ameliorative outputs include at least a short-term indicator and at least a long-term indicator. At least a server is configured to receive at least a user life element datum wherein the at least a user life element datum includes at least a user life quality response. At least a server is configured to generate a loss function of the plurality of short-term indicators and the plurality of long-term indicators using at least a user life element datum. At least a server is configured to select at least an ameliorative output from a plurality of ameliorative outputs to minimize the loss function.

公开(公告)号：US20230360763A1

公开(公告)日：2023-11-09

申请号：US18352568

申请日：2023-07-14

申请人： DEKA Products Limited Partnership

发明人： Dean Kamen ,  John M. Kerwin ,  Colin H. Murphy ,  Christopher C. Langenfeld ,  Michael J. Slate ,  Michael S. Place ,  Larry B. Gray

IPC分类号： G16H20/17 ,  F04B43/12 ,  G01F1/66 ,  F04B43/08 ,  A61M5/142 ,  A61M5/168 ,  F04B49/06 ,  F04B49/00 ,  G06Q50/22 ,  G16H50/00 ,  G16H40/63 ,  G16H40/67

CPC分类号： G16H20/17 ,  F04B43/12 ,  G01F1/666 ,  F04B43/082 ,  A61M5/14228 ,  A61M5/16831 ,  F04B43/08 ,  F04B49/065 ,  F04B49/00 ,  G06Q50/22 ,  F04B43/1261 ,  G16H50/00 ,  G16H40/63 ,  G16H40/67 ,  A61M2005/16863 ,  F04B43/09

摘要： A peristaltic pump includes a plunger-cam follower, a tube receiver, a spring-biased plunger, a spring, a position sensor, and a processor. The plunger-cam follower engages the plunger cam to follow the plunger cam and to disengage from the plunger cam. The spring-biased plunger is coupled to the plunger-cam follower and the spring biases the spring-biased plunger toward the tube receiver. The position sensor determines a position of the spring-biased plunger when the plunger-cam follower is disengaged from the plunger came. The processor estimates fluid flow utilizing at least the position of the spring-biased plunger as indicated by the position sensor when the plunger-cam follower is disengaged from the plunger cam and the spring biases the spring-biased plunger against the tube.

公开(公告)号：US20230197290A1

公开(公告)日：2023-06-22

申请号：US18107908

申请日：2023-02-09

申请人： MD Revolution, Inc.

发明人： Samir B. DAMANI ,  Vincent VALENTINO ,  Pratik PATEL

IPC分类号： G16H70/00 ,  G16H10/60 ,  G16H15/00 ,  G16H40/63 ,  G16H50/30 ,  G16H40/67 ,  G16H20/30 ,  G16H20/10 ,  G16H20/60 ,  G16H50/20 ,  G06Q10/10 ,  G16H20/40 ,  G16H50/00 ,  G16H80/00

CPC分类号： G16H70/00 ,  G16H10/60 ,  G16H15/00 ,  G16H40/63 ,  G16H50/30 ,  G16H40/67 ,  G16H20/30 ,  G16H20/10 ,  G16H20/60 ,  G16H50/20 ,  G06Q10/10 ,  G16H20/40 ,  G16H50/00 ,  G16H80/00

摘要： A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.

公开(公告)号：US11630995B2

公开(公告)日：2023-04-18

申请号：US16012151

申请日：2018-06-19

申请人： Siemens Healthcare GmbH

发明人： Philipp Hoelzer ,  Sasa Grbic ,  Daguang Xu

IPC分类号： G06F18/2411 ,  G06N3/08 ,  G16H50/20 ,  G16H30/40 ,  G06N3/02 ,  G16H50/00 ,  G16H50/70 ,  G06V10/70 ,  G06F18/22 ,  G06F18/2415 ,  G06V10/772 ,  G06V10/778 ,  G06V10/94

摘要： The user is to be informed of the reliability of the machine-learned model based on the current input relative to the training data used to train the model or the model itself. In a medical situation, the data for a current patient is compared to the training data used to train a prediction model and/or to a decision function of the prediction model. The comparison indicates the training content relative to the current patient, so provides a user with information on the reliability of the prediction for the current situation. The indication deals with the variation of the data of the current patient from the training data or relative to the prediction model, allowing the user to see how well trained the predication model is relative to the current patient. This indication is in addition to any global confidence output through application of the prediction model to the data of the current patient.

公开(公告)号：US11582348B2

公开(公告)日：2023-02-14

申请号：US17501456

申请日：2021-10-14

申请人： UnitedHealth Group Incorporated

发明人： Destiny Babjack ,  Peter D. Howell ,  Eric Bargman ,  Tina Groat ,  Kevin Tan ,  Tom Kelly ,  Sandra Long ,  Sean McNattin ,  Mayank Kumar ,  Lawrence Kevin Sundberg

IPC分类号： H04M3/00 ,  H04M3/523 ,  G16H80/00 ,  G16H20/10 ,  G16H50/30 ,  G16H50/70 ,  G16H10/60 ,  G16H40/20 ,  G16H50/00 ,  H04M3/51

摘要： Systems and methods for intelligently routing a member of an organization to a single point-of-contact within an optimized, secure network to address all the member's healthcare needs are described. The disclosed intelligent routing configurations transform and process, in real-time, vast amounts of member data to generate aggregated diagnoses and a member score specific to each member's household. The scores, among other things, are used to determine an identification of special needs and an appropriate advocate within the organization to route the member, and its account file containing real-time member and household level data.