公开(公告)号：US20230290461A1

公开(公告)日：2023-09-14

申请号：US18321352

申请日：2023-05-22

Applicant: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Hyoun-Joong KONG ,  Dan YOON ,  Byeongsoo KIM ,  Sungwan KIM ,  Kyu Eun LEE ,  Su-jin KIM ,  Minwoo CHO

IPC: G16H10/60 ,  G16H30/20 ,  G06V10/764

CPC classification number: G16H10/60 ,  G16H30/20 ,  G06V10/765 ,  G06V2201/032

Abstract: The present disclosure relates to a method and device for generating clinical record data for recording medical treatment. The method includes receiving medical data in which medical treatment, performed in advance, is recorded; recording information, included in the medical data, in a layer corresponding to an item related to the medical data from among a plurality of layers classified according to a plurality of items; and generating a clinical report based on the plurality of layers.

公开(公告)号：US11730387B2

公开(公告)日：2023-08-22

申请号：US16673397

申请日：2019-11-04

Applicant: University of Central Florida Research Foundation, Inc.

Inventor： Ulas Bagci ,  Naji Khosravan ,  Sarfaraz Hussein

IPC: A61B5/00 ,  A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  A61B6/12 ,  A61B8/08 ,  G16H50/20 ,  G06N3/04 ,  G06N20/10 ,  G06N5/04 ,  G06N3/08 ,  G16H30/40 ,  G16H70/60 ,  G06T7/00 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06V10/764 ,  G06V10/82

CPC classification number: A61B5/055 ,  A61B6/032 ,  A61B6/037 ,  A61B6/4417 ,  A61B6/5217 ,  A61B8/481 ,  A61B8/5223 ,  G06F18/2148 ,  G06F18/23 ,  G06F18/2411 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04 ,  G06N20/10 ,  G06T7/0012 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G16H70/60 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06V2201/032

Abstract: A method of detecting and diagnosing cancers characterized by the presence of at least one nodule/neoplasm from an imaging scan is presented. To detect nodules in an imaging scan, a 3D CNN using a single feed forward pass of a single network is used. After detection, risk stratification is performed using a supervised or an unsupervised deep learning method to assist in characterizing the detected nodule/neoplasm as benign or malignant. The supervised learning method relies on a 3D CNN used with transfer learning and a graph regularized sparse MTL to determine malignancy. The unsupervised learning method uses clustering to generate labels after which label proportions are used with a novel algorithm to classify malignancy. The method assists radiologists in improving detection rates of lung nodules to facilitate early detection and minimizing errors in diagnosis.

公开(公告)号：US20230245316A1

公开(公告)日：2023-08-03

申请号：US18161813

申请日：2023-01-30

Applicant: FUJIFILM Corporation

Inventor： Keigo NAKAMURA ,  Jun MASUMOTO

IPC: G06T7/00 ,  G06T7/11 ,  G06V10/26 ,  G06V30/412 ,  G16H50/20

CPC classification number: G06T7/0016 ,  G06T7/11 ,  G06V10/26 ,  G06V30/412 ,  G16H50/20 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06T2207/30016 ,  G06T2207/30084 ,  G06T2207/30056 ,  G06T2207/30176 ,  G06T2207/10081 ,  G06V2201/032

Abstract: An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: acquire a document describing a subject; extract document finding information indicating a finding of the subject included in the document; and specify a finding extraction process for extracting image finding information indicating the finding indicated by the document finding information from a first image obtained by imaging the subject, among a plurality of types of finding extraction processes for extracting image finding information indicating a plurality of different types of findings that are able to be included in the first image.