Nothing Special   »   [go: up one dir, main page]

Wehbe et al., 2021 - Google Patents

DeepCOVID-XR: an artificial intelligence algorithm to detect COVID-19 on chest radiographs trained and tested on a large US clinical data set

Wehbe et al., 2021

View HTML @Full View
Document ID
2993884238240480460
Author
Wehbe R
Sheng J
Dutta S
Chai S
Dravid A
Barutcu S
Wu Y
Cantrell D
Xiao N
Allen B
MacNealy G
Savas H
Agrawal R
Parekh N
Katsaggelos A
Publication year
Publication venue
Radiology

External Links

Snippet

Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest radiographs might be useful for triage or infection control within a hospital setting, but prior …
Continue reading at pubs.rsna.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements

Similar Documents

Publication Publication Date Title
Wehbe et al. DeepCOVID-XR: an artificial intelligence algorithm to detect COVID-19 on chest radiographs trained and tested on a large US clinical data set
Bai et al. Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT
Zhang et al. Diagnosis of coronavirus disease 2019 pneumonia by using chest radiography: Value of artificial intelligence
Rajpurkar et al. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Sim et al. Deep convolutional neural network–based software improves radiologist detection of malignant lung nodules on chest radiographs
Chassagnon et al. Artificial intelligence applications for thoracic imaging
Chang et al. Hybrid 3D/2D convolutional neural network for hemorrhage evaluation on head CT
Mondal et al. Diagnosis of COVID-19 using machine learning and deep learning: a review
Lakhani et al. Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks
Pan et al. Tackling the radiological society of North America pneumonia detection challenge
Koul et al. Artificial intelligence techniques to predict the airway disorders illness: a systematic review
Zhang Application of machine learning in CT images and X-rays of COVID-19 pneumonia
Serena Low et al. An Overview of Deep Learning Techniques on Chest X‐Ray and CT Scan Identification of COVID‐19
Summers Artificial intelligence of COVID-19 imaging: a hammer in search of a nail
de Hoop et al. Computer-aided detection of lung cancer on chest radiographs: effect on observer performance
Chatterjee et al. Exploration of interpretability techniques for deep covid-19 classification using chest x-ray images
England et al. Detection of traumatic pediatric elbow joint effusion using a deep convolutional neural network
Lind Plesner et al. Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion
Abdulkareem et al. [Retracted] Automated System for Identifying COVID‐19 Infections in Computed Tomography Images Using Deep Learning Models
El Naqa et al. Lessons learned in transitioning to AI in the medical imaging of COVID-19
Froelich et al. Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality
Fallahpoor et al. Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection
Armato III Deep learning demonstrates potential for lung cancer detection in chest radiography
Mohebi et al. Post-revascularization ejection fraction prediction for patients undergoing percutaneous coronary intervention based on myocardial perfusion SPECT imaging radiomics: a preliminary machine learning study
Nandhini Abirami et al. COVID-19 classification using medical image synthesis by generative adversarial networks