JPWO2020214988A5 - - Google Patents

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JPWO2020214988A5
JPWO2020214988A5 JP2021561983A JP2021561983A JPWO2020214988A5 JP WO2020214988 A5 JPWO2020214988 A5 JP WO2020214988A5 JP 2021561983 A JP2021561983 A JP 2021561983A JP 2021561983 A JP2021561983 A JP 2021561983A JP WO2020214988 A5 JPWO2020214988 A5 JP WO2020214988A5
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ユーザクエリに基づいてユーザに応答を提供する方法であって、プロセッサを含むコラボレーションデバイスで使用するための方法であり、
前記ユーザから特定の主題に関連する過去の臨床情報または医療データを参照することにより部分的に回答可能なクエリを受信するステップと、
前記クエリに関連付けられる少なくとも1つの重みづけ可能なインテントを識別するステップであって、前記少なくとも1つの重みづけ可能なインテントが、機械学習モジュールに提供される、または前記機械学習モジュールよって生成されたインテントフレーズに十分に対応するものとして前記クエリを認識する、前記機械学習モジュールによって識別される、ステップと、
前記少なくとも1つのインテントに関連付けられる少なくとも1つのデータ動作を識別するステップ
第1の応答データセットを生成するために、前記特定の主題に関連する前記過去の臨床情報または医療データに含まれる、第1のデータセットに対して前記識別された少なくとも1つのデータ動作のうちの少なくとも1つを実行するステップ
応答を生成するために前記第1の応答データセットを使用するステップと、
前記応答を提供するステップと
を備える、方法。
1. A method for providing a response to a user based on a user query , for use in a collaboration device including a processor, the method comprising:
receiving from the user a query that can be answered in part by reference to past clinical or medical data related to a particular subject ;
identifying at least one weightable intent associated with the query , the at least one weightable intent being provided to or identified by a machine learning module that recognizes the query as sufficiently corresponding to an intent phrase generated by the machine learning module;
identifying at least one data action associated with the at least one intent ;
performing at least one of the identified at least one data action on a first data set contained in the historical clinical information or medical data related to the particular subject to generate a first responsive data set ;
using the first response data set to generate a response ;
and providing said response.
前記コラボレーションデバイスが、前記プロセッサにリンクされたマイクロフォンおよびスピーカを含み、前記クエリが、前記マイクロフォンを介して受信される可聴クエリであり、前記応答を提供するステップが、前記スピーカを介して可聴応答をブロードキャストするステップを含む、請求項1に記載の方法。2. The method of claim 1, wherein the collaboration device includes a microphone and a speaker linked to the processor, the query is an audible query received via the microphone, and providing the response includes broadcasting an audible response via the speaker. 前記特定の主題に関連する前記過去の臨床情報または医療データが、ゲノムバイオマーカまたは治療のうちの1つまたは複数を備える、請求項1に記載の方法。10. The method of claim 1, wherein the historical clinical information or medical data related to the particular subject comprises one or more of a genomic biomarker or a treatment. 前記特定の主題の分子報告にアクセスするステップをさらに含み、accessing a molecular report for said particular subject;
前記特定の主題に関連する前記過去の臨床情報または医療データに含まれる前記第1のデータセットが、前記特定の主題の分子報告情報を含む、The first data set included in the historical clinical or medical data related to the specific subject includes molecular report information of the specific subject.
請求項1に記載の方法。The method of claim 1.
前記少なくとも1つの重みづけ可能なインテントを識別するステップが、The step of identifying at least one weightable intent comprises:
病状関連インテントに、他の可能性のあるインテントよりもより高く重みづけするステップと、weighting medical condition-related intents higher than other possible intents;
複数の可能性のあるインテントを識別するステップと、identifying a plurality of possible intents;
前記可能性のあるインテントのいずれかが病状関連インテントであるかを判定するステップと、determining whether any of the possible intents are medical condition-related intents;
前記少なくとも1つの重みづけ可能なインテントの重みを有効化するステップとEnabling a weight of the at least one weightable intent;
をさらに備える、請求項1に記載の方法。The method of claim 1 , further comprising:
前記少なくとも1つの重みづけ可能なインテントを識別するステップが、少なくとも1つの適格なエンティティを含み、前記方法が、The step of identifying at least one weightable intent includes at least one eligible entity, the method further comprising:
前記少なくとも1つの適格なエンティティに対応する前記クエリ内のエンティティに関連付けられた少なくとも1つのパラメータ値を識別するステップをさらに備え、identifying at least one parameter value associated with an entity in the query that corresponds to the at least one eligible entity;
前記少なくとも1つのデータ動作が前記少なくとも1つの適格なエンティティに関連付けられる、the at least one data action is associated with the at least one eligible entity;
請求項1に記載の方法。The method of claim 1.
前記少なくとも1つのデータ動作が少なくとも1つの第1の動作を備え、前記特定の主題に関連する前記過去の臨床情報または医療データがゲノムバイオマーカを備え、前記方法が、The at least one data operation comprises at least one first operation, the historical clinical or medical data relating to the particular subject comprises genomic biomarkers, and the method further comprises:
前記ゲノムバイオマーカに関連付けられた少なくとも1つの第2の動作を識別するステップをさらに備え、identifying at least one second action associated with the genomic biomarker;
前記識別された少なくとも1つのデータ動作のうちの少なくとも1つを実行するステップが、前記ゲノムバイオマーカに含まれる前記特定の主題に関連する前記過去の臨床情報または医療データに含まれる前記第1のデータセットに対して前記識別された少なくとも1つの第1のデータ動作および前記識別された少なくとも1つの第2のデータ動作のうちの少なくとも1つを実行するステップを備える、performing at least one of the identified at least one data operation on the first data set included in the historical clinical information or medical data related to the particular subject included in the genomic biomarkers;
請求項6に記載の方法。The method of claim 6.
複数の主題についてのゲノム変異体または分子報告情報を含むデータセットに対する前記少なくとも1つのデータ動作のうちの少なくとも1つを実行するステップをさらに備える、請求項1に記載の方法。10. The method of claim 1, further comprising performing at least one of the at least one data operation on a dataset comprising genomic variant or molecular report information for a plurality of subjects. 前記クエリが、治療の順番、標準治療、または臨床試験を参照することにより部分的に回答可能である、請求項1に記載の方法。The method of claim 1 , wherein the query is answerable in part by reference to a treatment order, a standard of care, or a clinical trial. 前記第1の応答データセットが、テスト方法、テスト要件、またはテスト結果の1つまたは複数に、かつオプションで突然変異テストまたは抗体ベースのテストに関連する、請求項1に記載の方法。2. The method of claim 1, wherein the first response dataset relates to one or more of a testing method, a testing requirement, or a testing result, and optionally to a mutation test or an antibody-based test. 前記主題が1つまたは複数のサービスに新たに適格となったことを将来の時間で前記ユーザに通知するステップをさらに備え、オプションで、前記1つまたは複数のサービスが、がん委員会、臨床試験、診断テスト、治療、または薬を含む、請求項1に記載の方法。13. The method of claim 1, further comprising the step of notifying the user at a future time that the subject has newly become eligible for one or more services, optionally the one or more services comprising a cancer board, a clinical trial, a diagnostic test, a treatment, or a drug. 前記主題に関連する1つまたは複数の文書を生成するステップであって、前記1つまたは複数の文書が、複数の構造化されたノートタイプ、転記、前記主題の記録、請求伝票、またはスケジュールの予定の中の複数からの構造化されたノートの1つまたは複数を備える、ステップと、generating one or more documents related to the subject matter, the one or more documents comprising one or more of a structured note from a plurality of structured note types, a transcription, a record of the subject matter, a billing slip, or a schedule appointment;
前記1つまたは複数の文書を生成するため少なくとも1つの第2のインテントを識別するステップであって、前記少なくとも1つの第2のインテントが、前記ユーザからの要求に含まれるか、または前記ユーザの入力から推定されるかのいずれかである、ステップとidentifying at least one second intent for generating the one or more documents, the at least one second intent being either included in a request from the user or inferred from an input from the user;
をさらに備える、請求項1に記載の方法。The method of claim 1 , further comprising:
前記コラボレーションデバイスが、1つまたは複数の電子文書抽象化サービスと通信しており、前記方法が、the collaboration device is in communication with one or more electronic document abstraction services, and the method comprises:
前記ユーザからの要求に応答して、前記要求に関連する電子文書を識別し、かつ前記識別された電子文書の一部またはすべての要約を提供するステップをさらに備える、and in response to a request from the user, identifying electronic documents associated with the request and providing summaries of some or all of the identified electronic documents.
請求項1に記載の方法。The method of claim 1.
ユーザクエリに基づいてユーザに応答を提供するためのシステムであって、請求項1~13のいずれか一項に記載の方法を実行するように構成されるプロセッサを含むサーバを備える、システム。A system for providing a response to a user based on a user query, the system comprising a server including a processor configured to perform the method of any one of claims 1 to 13. 命令を備えるコンピュータ可読媒体であって、プロセッサによって実行されたとき、コンピュータシステムに請求項1~13のいずれか一項に記載の方法を実行させる、コンピュータ可読媒体。A computer readable medium comprising instructions which, when executed by a processor, cause a computer system to perform the method of any one of claims 1 to 13.
JP2021561983A 2019-04-17 2020-04-17 Collaborative Artificial Intelligence Methods and Systems Pending JP2022529276A (en)

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US201962835339P 2019-04-17 2019-04-17
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US201962855646P 2019-05-31 2019-05-31
US62/855,646 2019-05-31
US201962871667P 2019-07-08 2019-07-08
US62/871,667 2019-07-08
PCT/US2020/028818 WO2020214988A1 (en) 2019-04-17 2020-04-17 Collaborative artificial intelligence method and system

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Families Citing this family (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11348667B2 (en) 2010-10-08 2022-05-31 Cerner Innovation, Inc. Multi-site clinical decision support
US10628553B1 (en) 2010-12-30 2020-04-21 Cerner Innovation, Inc. Health information transformation system
US8856156B1 (en) 2011-10-07 2014-10-07 Cerner Innovation, Inc. Ontology mapper
US10249385B1 (en) 2012-05-01 2019-04-02 Cerner Innovation, Inc. System and method for record linkage
US11894117B1 (en) 2013-02-07 2024-02-06 Cerner Innovation, Inc. Discovering context-specific complexity and utilization sequences
US12020814B1 (en) 2013-08-12 2024-06-25 Cerner Innovation, Inc. User interface for clinical decision support
US10446273B1 (en) 2013-08-12 2019-10-15 Cerner Innovation, Inc. Decision support with clinical nomenclatures
CN114845122B (en) 2018-05-07 2024-04-30 苹果公司 User interface for viewing live video feeds and recording video
WO2020249704A1 (en) 2019-06-13 2020-12-17 F. Hoffmann-La Roche Ag Systems and methods with improved user interface for interpreting and visualizing longitudinal data
JP7392120B2 (en) * 2019-09-06 2023-12-05 エフ. ホフマン-ラ ロシュ アーゲー Automated information extraction and refinement within pathology reports using natural language processing
US11914953B2 (en) * 2019-11-15 2024-02-27 98Point6 Inc. System and method for automated patient interaction
US11730420B2 (en) 2019-12-17 2023-08-22 Cerner Innovation, Inc. Maternal-fetal sepsis indicator
US11646106B1 (en) * 2020-01-15 2023-05-09 Walgreen Co. Intelligent multi-party remote care system
US12045572B2 (en) 2020-03-10 2024-07-23 MeetKai, Inc. System and method for handling out of scope or out of domain user inquiries
KR20230010624A (en) 2020-03-10 2023-01-19 밋카이, 인크. Parallel Hypothetical Inference to Power Multilingual, Multiturn, Multidomain Virtual Assistants
US11995561B2 (en) * 2020-03-17 2024-05-28 MeetKai, Inc. Universal client API for AI services
US11991253B2 (en) 2020-03-17 2024-05-21 MeetKai, Inc. Intelligent layer to power cross platform, edge-cloud hybrid artificial intelligence services
US11853362B2 (en) * 2020-04-16 2023-12-26 Microsoft Technology Licensing, Llc Using a multi-task-trained neural network to guide interaction with a query-processing system via useful suggestions
US11513667B2 (en) * 2020-05-11 2022-11-29 Apple Inc. User interface for audio message
US11727460B2 (en) * 2020-07-31 2023-08-15 Kinaxis Inc. Systems, methods, and non-transitory computer-readable storage medium for obtaining product information via a conversational user interface
US11410653B1 (en) * 2020-09-25 2022-08-09 Amazon Technologies, Inc. Generating content recommendation based on user-device dialogue
WO2022076471A1 (en) 2020-10-05 2022-04-14 MeetKai, Inc. System and method for automatically generating question and query pairs
WO2022147468A1 (en) 2020-12-31 2022-07-07 Tempus Labs, Inc. Systems and methods for detecting multi-molecule biomarkers
WO2022146699A1 (en) 2020-12-31 2022-07-07 Stryker Corporation Patient support apparatus and medical device networks
CA3204451A1 (en) 2021-01-07 2022-07-14 Francisco M. De La Vega Systems and methods for joint low-coverage whole genome sequencing and whole exome sequencing inference of copy number variation for clinical diagnostics
US20240076744A1 (en) 2021-01-21 2024-03-07 Tempus Labs, Inc. METHODS AND SYSTEMS FOR mRNA BOUNDARY ANALYSIS IN NEXT GENERATION SEQUENCING
US20230337941A1 (en) * 2021-02-27 2023-10-26 Stryker Corporation System for determining patient support apparatus and medical device location
US11782974B2 (en) * 2021-03-25 2023-10-10 Bank Of America Corporation System and method for dynamically identifying and retrieving information responsive to voice requests
KR20220133414A (en) * 2021-03-25 2022-10-05 삼성전자주식회사 Method for providing voice assistant service and electronic device supporting the same
US11990125B2 (en) * 2021-06-21 2024-05-21 Kyndryl, Inc. Intent driven voice interface
US20230015321A1 (en) * 2021-07-09 2023-01-19 Flipkart Internet Private Limited System and method for generating a response to a user query
EP4416733A1 (en) 2021-10-11 2024-08-21 Tempus AI, Inc. Methods and systems for detecting alternative splicing in sequencing data
US20230154609A1 (en) * 2021-11-18 2023-05-18 International Business Machines Corporation Electronic health records analysis using robotic process automation
US20230162815A1 (en) 2021-11-19 2023-05-25 Tempus Labs, Inc. Methods and systems for accurate genotyping of repeat polymorphisms
US11763949B1 (en) 2022-02-01 2023-09-19 Allegheny Singer Research Institute Computer-based tools and techniques for optimizing emergency medical treatment
EP4239647A1 (en) 2022-03-03 2023-09-06 Tempus Labs, Inc. Systems and methods for deep orthogonal fusion for multimodal prognostic biomarker discovery
US12061272B2 (en) 2022-03-17 2024-08-13 Eagle Technology, Llc Satellite automatic identification system (AIS) for determining potential spoofing maritime vessels based upon actual frequency of arrival of AIS messages and related methods
US20230298726A1 (en) * 2022-03-21 2023-09-21 Vayu Technology Corp. System and method to predict performance, injury risk, and recovery status from smart clothing and other wearables using machine learning
CN114419619B (en) * 2022-03-29 2022-06-10 北京小蝇科技有限责任公司 Erythrocyte detection and classification method and device, computer storage medium and electronic equipment
WO2024052240A1 (en) * 2022-09-09 2024-03-14 Shl Medical Ag Voice interrogation, control, and authentication of connected drug delivery devices
CN116340778B (en) * 2023-05-25 2023-10-03 智慧眼科技股份有限公司 Medical large model construction method based on multiple modes and related equipment thereof

Family Cites Families (61)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060194725A1 (en) * 2004-05-07 2006-08-31 James Rasmussen Methods of treating disease with random copolymers
US20070129610A1 (en) * 2005-12-06 2007-06-07 Eastman Kodak Company Method of providing automated medical assistance
US20090043612A1 (en) * 2007-08-07 2009-02-12 Szela Jr Erwin G Electronic Health Management System
US8949725B1 (en) 2010-05-27 2015-02-03 Speaktoit, Inc. Chat information system for portable electronic devices
WO2012042447A2 (en) * 2010-09-30 2012-04-05 Koninklijke Philips Electronics N.V. Medical query refinement system
AU2012220872A1 (en) * 2011-02-22 2013-09-12 Caris Life Sciences Switzerland Holdings Gmbh Circulating biomarkers
US8688453B1 (en) * 2011-02-28 2014-04-01 Nuance Communications, Inc. Intent mining via analysis of utterances
WO2013070895A1 (en) * 2011-11-08 2013-05-16 Apellis Pharmaceuticals, Inc. Systems and methods for assembling electronic medical records
US9386113B1 (en) 2011-12-30 2016-07-05 Speaktoit, Inc. System-initiated interactions and notifications in a chat information system on mobile devices
EP2909801A4 (en) * 2012-10-19 2016-07-27 Inc Medpod Modular telemedicine enabled clinic and medical diagnostic assistance systems
US9380017B2 (en) 2012-11-08 2016-06-28 Speaktoit, Inc. Human assisted chat information system
RU2530268C2 (en) 2012-11-28 2014-10-10 Общество с ограниченной ответственностью "Спиктуит" Method for user training of information dialogue system
US9570090B2 (en) 2015-05-26 2017-02-14 Google Inc. Dialog system with automatic reactivation of speech acquiring mode
RU2530267C2 (en) 2012-11-28 2014-10-10 Общество с ограниченной ответственностью "Спиктуит" Method for user communication with information dialogue system
US9875741B2 (en) 2013-03-15 2018-01-23 Google Llc Selective speech recognition for chat and digital personal assistant systems
US10026400B2 (en) 2013-06-27 2018-07-17 Google Llc Generating dialog recommendations for chat information systems based on user interaction and environmental data
US9070366B1 (en) * 2012-12-19 2015-06-30 Amazon Technologies, Inc. Architecture for multi-domain utterance processing
US20140249830A1 (en) 2013-03-01 2014-09-04 Nuance Communications, Inc. Virtual medical assistant methods and apparatus
US9875494B2 (en) * 2013-04-16 2018-01-23 Sri International Using intents to analyze and personalize a user's dialog experience with a virtual personal assistant
US10176167B2 (en) * 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
US9472206B2 (en) * 2013-06-17 2016-10-18 Google Technology Holdings LLC Privacy mode for always-on voice-activated information assistant
US10431209B2 (en) * 2016-12-30 2019-10-01 Google Llc Feedback controller for data transmissions
WO2015151157A1 (en) * 2014-03-31 2015-10-08 三菱電機株式会社 Device and method for understanding user intent
CN112102824B (en) 2014-06-06 2024-08-02 谷歌有限责任公司 Active chat information system based on environment
WO2016040769A1 (en) 2014-09-14 2016-03-17 Speaktoit, Inc. Platform for creating customizable dialog system engines
US9892192B2 (en) * 2014-09-30 2018-02-13 International Business Machines Corporation Information handling system and computer program product for dynamically assigning question priority based on question extraction and domain dictionary
US9369425B2 (en) 2014-10-03 2016-06-14 Speaktoit, Inc. Email and instant messaging agent for dialog system
US10235130B2 (en) * 2014-11-06 2019-03-19 Microsoft Technology Licensing, Llc Intent driven command processing
US10482184B2 (en) 2015-03-08 2019-11-19 Google Llc Context-based natural language processing
WO2016191630A1 (en) 2015-05-27 2016-12-01 Speaktoit, Inc. Enhancing functionalities of virtual assistants and dialog systems via plugin marketplace
US10740384B2 (en) * 2015-09-08 2020-08-11 Apple Inc. Intelligent automated assistant for media search and playback
JP6960914B2 (en) 2015-10-21 2021-11-05 グーグル エルエルシーGoogle LLC Parameter collection and automatic dialog generation in the dialog system
US11024428B2 (en) * 2015-11-16 2021-06-01 Serenus Ai Ltd. Automated method and system for screening and prevention of unnecessary medical procedures
WO2017165444A1 (en) * 2016-03-21 2017-09-28 Human Longevity, Inc. Genomic, metabolomic, and microbiomic search engine
US11404170B2 (en) * 2016-04-18 2022-08-02 Soap, Inc. Method and system for patients data collection and analysis
US20180052824A1 (en) * 2016-08-19 2018-02-22 Microsoft Technology Licensing, Llc Task identification and completion based on natural language query
US10403268B2 (en) * 2016-09-08 2019-09-03 Intel IP Corporation Method and system of automatic speech recognition using posterior confidence scores
US10068573B1 (en) * 2016-12-21 2018-09-04 Amazon Technologies, Inc. Approaches for voice-activated audio commands
US10319375B2 (en) * 2016-12-28 2019-06-11 Amazon Technologies, Inc. Audio message extraction
US11100384B2 (en) * 2017-02-14 2021-08-24 Microsoft Technology Licensing, Llc Intelligent device user interactions
US10909980B2 (en) * 2017-02-27 2021-02-02 SKAEL, Inc. Machine-learning digital assistants
US10600406B1 (en) * 2017-03-20 2020-03-24 Amazon Technologies, Inc. Intent re-ranker
US10503739B2 (en) * 2017-04-20 2019-12-10 Breville USA, Inc. Crowdsourcing responses in a query processing system
CN107145744B (en) * 2017-05-08 2018-03-02 合肥工业大学 Construction method, device and the aided diagnosis method of medical knowledge collection of illustrative plates
DK201770383A1 (en) * 2017-05-09 2018-12-14 Apple Inc. User interface for correcting recognition errors
US11043205B1 (en) * 2017-06-27 2021-06-22 Amazon Technologies, Inc. Scoring of natural language processing hypotheses
EP3642835A4 (en) * 2017-08-03 2021-01-06 Telepathy Labs, Inc. Omnichannel, intelligent, proactive virtual agent
US11106683B2 (en) * 2017-08-25 2021-08-31 Accenture Global Solutions Limited System architecture for interactive query processing
US10748538B2 (en) * 2017-09-26 2020-08-18 Google Llc Dynamic sequence-based adjustment of prompt generation
US10971173B2 (en) * 2017-12-08 2021-04-06 Google Llc Signal processing coordination among digital voice assistant computing devices
US10460734B2 (en) * 2018-03-08 2019-10-29 Frontive, Inc. Methods and systems for speech signal processing
EP3557439A1 (en) * 2018-04-16 2019-10-23 Tata Consultancy Services Limited Deep learning techniques based multi-purpose conversational agents for processing natural language queries
US10963492B2 (en) * 2018-06-14 2021-03-30 Google Llc Generation of domain-specific models in networked system
US10395772B1 (en) 2018-10-17 2019-08-27 Tempus Labs Mobile supplementation, extraction, and analysis of health records
US20200258601A1 (en) 2018-10-17 2020-08-13 Tempus Labs Targeted-panel tumor mutational burden calculation systems and methods
WO2020092855A1 (en) 2018-10-31 2020-05-07 Tempus Labs User interface, system, and method for cohort analysis
US10381006B1 (en) * 2018-11-26 2019-08-13 Accenture Global Solutions Limited Dialog management system for using multiple artificial intelligence service providers
AU2019418813A1 (en) 2018-12-31 2021-07-22 Tempus Ai, Inc. A method and process for predicting and analyzing patient cohort response, progression, and survival
US11482215B2 (en) * 2019-03-27 2022-10-25 Samsung Electronics Co., Ltd. Multi-modal interaction with intelligent assistants in voice command devices
US11170007B2 (en) * 2019-04-11 2021-11-09 International Business Machines Corporation Headstart for data scientists
US11705226B2 (en) * 2019-09-19 2023-07-18 Tempus Labs, Inc. Data based cancer research and treatment systems and methods

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