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公开(公告)号:US20240112808A1
公开(公告)日:2024-04-04
申请号:US18540390
申请日:2023-12-14
Applicant: Google LLC
Inventor: Melissa Strader , William Ito , Christopher Co , Katherine Chou , Alvin Rajkomar , Rebecca Rolfe
CPC classification number: G16H50/20 , G06F16/3344 , G06F40/279 , G10L15/00 , G10L15/005 , G10L15/08 , G16H10/60 , G16H40/63 , G16H50/70 , G10L17/00
Abstract: A computer-implemented method includes receiving, by a computing device, a particular textual description of a scene. The method also includes applying a neural network for text-to-image generation to generate an output image rendition of the scene, the neural network having been trained to cause two image renditions associated with a same textual description to attract each other and two image renditions associated with different textual descriptions to repel each other based on mutual information between a plurality of corresponding pairs, wherein the plurality of corresponding pairs comprise an image-to-image pair and a text-to-image pair. The method further includes predicting the output image rendition of the scene.
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公开(公告)号:US11894140B2
公开(公告)日:2024-02-06
申请号:US17557391
申请日:2021-12-21
Applicant: Google LLC
Inventor: Melissa Strader , William Ito , Christopher Co , Katherine Chou , Alvin Rajkomar , Rebecca Rolfe
IPC: G16H50/20 , G16H10/60 , G06F16/33 , G16H50/70 , G16H40/63 , G10L15/00 , G10L15/08 , G06F40/279 , G10L17/00
CPC classification number: G16H50/20 , G06F16/3344 , G06F40/279 , G10L15/00 , G10L15/005 , G10L15/08 , G16H10/60 , G16H40/63 , G16H50/70 , G10L17/00 , G10L2015/088
Abstract: A computer-implemented method includes receiving, by a computing device, a particular textual description of a scene. The method also includes applying a neural network for text-to-image generation to generate an output image rendition of the scene, the neural network having been trained to cause two image renditions associated with a same textual description to attract each other and two image renditions associated with different textual descriptions to repel each other based on mutual information between a plurality of corresponding pairs, wherein the plurality of corresponding pairs comprise an image-to-image pair and a text-to-image pair. The method further includes predicting the output image rendition of the scene.
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23.
公开(公告)号:US20230315279A1
公开(公告)日:2023-10-05
申请号:US18133029
申请日:2023-04-11
Applicant: Google LLC
Inventor: Melissa Strader , William Ito , Christopher Co , Katherine Chou , Alvin Rajkomar , Rebecca Rolfe
IPC: G06F3/04855 , G16H10/20 , G10L15/26 , G06F40/30 , G06F40/289
CPC classification number: G06F3/04855 , G06F40/289 , G06F40/30 , G10L15/26 , G16H10/20
Abstract: A method and workstation for generating a transcript of a conversation between a patient and a healthcare practitioner is disclosed. A workstation is provided with a tool for rendering of an audio recording of the conversation and generating a display of a transcript of the audio recording using a speech-to-text engine, thereby enabling inspection of the accuracy of conversion of speech to text. A tool is provided for scrolling through the transcript and rendering the portion of the audio according to the position of the scrolling. There is a highlighting in the transcript of words or phrases spoken by the patient relating to symptoms, medications or other medically relevant concepts. Additionally, there is provided a set of transcript supplement tools enabling editing of specific portions of the transcript based on the content of the corresponding portion of audio recording.
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公开(公告)号:US11574191B2
公开(公告)日:2023-02-07
申请号:US16905219
申请日:2020-06-18
Applicant: Google LLC
Inventor: Ming Jack Po , Christopher Co , Katherine Chou
Abstract: Systems and methods of predicting documentation associated with an encounter between attendees are provided. For instance, attendee data indicative of one or more previous visit notes associated with a first attendee can be obtained. The attendee data can be inputted into a machine-learned note prediction model that includes a neural network. The neural network can generate one or more context vectors descriptive of the attendee data. Data indicative of a predicted visit note can be received as output of the machine-learned note prediction model based at least in part on the context vectors. The predicted visit note can include a set of predicted information expected to be included in a subsequently generated visit note associated with the first attendee.
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25.
公开(公告)号:US20220391083A1
公开(公告)日:2022-12-08
申请号:US17819698
申请日:2022-08-15
Applicant: Google LLC
Inventor: Melissa Strader , William Ito , Christopher Co , Katherine Chou , Alvin Rajkomar , Rebecca Rolfe
IPC: G06F3/04855 , G16H10/20 , G10L15/26 , G06F40/30 , G06F40/289
Abstract: A method and workstation for generating a transcript of a conversation between a patient and a healthcare practitioner is disclosed. A workstation is provided with a tool for rendering of an audio recording of the conversation and generating a display of a transcript of the audio recording using a speech-to-text engine, thereby enabling inspection of the accuracy of conversion of speech to text. A tool is provided for scrolling through the transcript and rendering the portion of the audio according to the position of the scrolling. There is a highlighting in the transcript of words or phrases spoken by the patient relating to symptoms, medications or other medically relevant concepts. Additionally, there is provided a set of transcript supplement tools enabling editing of specific portions of the transcript based on the content of the corresponding portion of audio recording.
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26.
公开(公告)号:US20200152302A1
公开(公告)日:2020-05-14
申请号:US16612879
申请日:2017-10-20
Applicant: Google LLC
Inventor: Christopher Co , Gang Li , Philip Chung , Justin Paul , Daniel Shing Shun Tse , Katherine Chou , Diana Jaunzeikare , Alvin Rajkomar
Abstract: A method and system is provided for assisting a user to assign a label to words or spans of text in a transcript of a conversation between a patient and a medical professional and form groupings of such labelled words or spans of text in the transcript. The transcript is displayed on an interface of a workstation. A tool is provided for highlighting spans of text in the transcript consisting of one or more words. Another tool is provided for assigning a label to the highlighted spans of text. This tool includes a feature enabling searching through a set of predefined labels available for assignment to the highlighted span of text. The predefined labels encode medical entities and attributes of the medical entities. The interface further includes a tool for creating groupings of related highlighted spans of texts. The tools can consist of mouse action or key strokes or a combination thereof.
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