公开(公告)号：US20240428910A1

公开(公告)日：2024-12-26

申请号：US18274054

申请日：2022-01-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Saifeng LIU ,  Xi WANG ,  Evan SCHWAB ,  Jonathan RUBIN ,  Sandeep Madhukar DALAL ,  Eran RUBENS

IPC: G16H15/00 ,  G06F40/103 ,  G16H30/40

Abstract: A method (100) of analyzing a medical report (34) presenting clinical content determined from one or more images (38) includes: extracting a text embedding (54) from the medical report: extracting an image embedding (52) from the one or more images; determining one or more content feature vectors from the text embedding and the image embedding; determining one or more style feature vectors from the text embedding; and at least one of: extracting one or more clinical findings contained in the medical report using the one or more content feature vectors; scoring the style of the medical report using the one or more style feature vectors; and/or converting the medical report to a target style using the one or more content feature vectors and one or more target style feature vectors different from the determined one or more style feature vectors.

公开(公告)号：US20240071110A1

公开(公告)日：2024-02-29

申请号：US18502133

申请日：2023-11-06

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Christine Menking SWISHER ,  Sheikh Sadid AL HASAN ,  Jonathan RUBIN ,  Cristhian Mauricio POTES BLANDON ,  Yuan LING ,  Oladimeji Feyisetan FARRI ,  Rithesh SREENIVASAN

IPC: G06V20/64 ,  G06F40/10 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T7/11 ,  G06V10/44 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06V20/64 ,  G06F40/10 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/11 ,  G06V10/454 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: A method (100) for generating a textual description of a medical image, comprising: receiving (130) a medical image of an anatomical region, the image comprising one or more abnormalities; segmenting (140) the anatomical region in the received medical image from a remainder of the image; identifying (150) at least one of the one or more abnormalities in the segmented anatomical region; extracting (160) one or more features from the identified abnormality; generating (170), using the extracted features and a trained text generation model, a textual description of the identified abnormality; and reporting (180), via a user interface of the system, the generated textual description of the identified abnormality.

公开(公告)号：US20230024573A1

公开(公告)日：2023-01-26

申请号：US17785087

申请日：2020-12-10

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Kathy Mi Young LEE ,  Ashequl QADIR ,  Claire Yunzhu ZHAO ,  Minnan XU ,  Jonathan RUBIN ,  Nikhil GALAGALI

IPC: G06T7/00 ,  G16H50/20

Abstract: A system and method for visualizing and annotating temporal trends of an abnormal condition in patient data. A classification and visualization module detects one or more conditions in one or more images, e.g. X-ray images, and visualizes the condition on the image. A temporal disease state extraction module analyzes text, e.g. radiology reports, for indications of a change in the condition. A multimodal disease state comparison module fuses the extracted data into a compact representation of the condition changes over time.