Google Inc.

Melissa Strader

Christopher S Co

Katherine Irene Chou

Rebecca Rolfe

William Ito

Alvin Rishi Rajkomar

Alvin Rajkomar

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.

Interface for patient-provider conversation and auto-generation of note or summary

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.

Method and system for generating transcripts of patient-healthcare provider conversations

A method for automatically generating a note summarizing a conversation between a patient and a healthcare provider is disclosed. A workstation is provided with a tool for rendering an audio recording of the conversation and a display for displaying a transcript of the audio recording obtained from a speech-to-text engine. The display of the workstation includes first transcript region for display of the transcript and a second note region for simultaneous displaying of elements of a note summarizing the conversation. Words or phrases in the transcript related to medical topics relating to the patient are extracted with the aid of a trained machine learning model. The extracted words or phrases are highlighted in the transcript and displayed in the note region. Links or a mapping between the extracted words or phrases in the note region and the portions of the transcript from which the extracted words or phrases originated are provided whereby the source and accuracy of the extracted words or phrases in the note region can be verified by a user.

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San Jose, CA, United States of America

Melissa Strader