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1. WO2021041074 - METHODS AND SYSTEMS FOR COMPUTER-AIDED DIAGNOSIS WITH DEEP LEARNING MODELS

Publication Number WO/2021/041074
Publication Date 04.03.2021
International Application No. PCT/US2020/046646
International Filing Date 17.08.2020
IPC
G16H 30/20 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
20for handling medical images, e.g. DICOM, HL7 or PACS
G16H 30/40 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
G16H 50/20 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
CPC
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G16H 30/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
20for handling medical images, e.g. DICOM, HL7 or PACS
G16H 30/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Applicants
  • GE PRECISION HEALTHCARE LLC [US]/[US]
Inventors
  • ALADAHALLI, Chandan Kumar Mallappa
  • MULLICK, Rakesh
  • GUALTIERI, James William
Agents
  • DIVINE, Lucas
  • QUINN, Thomas F., Jr.
Priority Data
16/557,79730.08.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) METHODS AND SYSTEMS FOR COMPUTER-AIDED DIAGNOSIS WITH DEEP LEARNING MODELS
(FR) PROCÉDÉS ET SYSTÈMES DE DIAGNOSTIC ASSISTÉ PAR ORDINATEUR AVEC MODÈLES D'APPRENTISSAGE PROFOND
Abstract
(EN)
Various methods and systems are provided for computer-aided diagnosis. In one embodiment, a method comprises acquiring, with an imaging system, a medical image of a subject, generating, with a radiologist model associated with a radiologist of an institution, a computer-aided diagnosis for the medical image, the radiologist model comprising a deep neural network trained on a plurality of diagnoses provided by the radiologist, displaying, to the radiologist via a display device, the medical image and the computer-aided diagnosis, and selectively updating, based on the medical image, one or more of the radiologist model, an institution model associated with the institution, and a geographic model associated with a geographic area containing the institution. In this way, a radiologist may be assisted by a deep neural network model configured as a digital twin of the radiologist.
(FR)
L'invention concerne divers procédés et systèmes de diagnostic assisté par ordinateur. Dans un mode de réalisation, un procédé comprend l'acquisition, à l'aide d'un système d'imagerie, d'une image médicale d'un sujet, la génération, à l'aide d'un modèle de radiologue associé à un radiologue d'un établissement, d'un diagnostic assisté par ordinateur pour l'image médicale, le modèle de radiologue comprenant un réseau neuronal profond formé à une pluralité de diagnostics fournis par le radiologue, la présentation au radiologue, par l'intermédiaire d'un dispositif d'affichage, de l'image médicale et du diagnostic assisté par ordinateur, et la mise à jour sélective, sur la base de l'image médicale, d'un ou de plusieurs modèles parmi le modèle de radiologue, un modèle d'établissement associé à l'établissement et un modèle géographique associé à une zone géographique dans laquelle est situé l'établissement. De cette manière, un radiologue peut être assisté par un modèle de réseau neuronal profond configuré en tant que jumeau numérique du radiologue.
Also published as
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