We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Detecto

Download Mobile App





Automatic AI-Based Diagnosis Framework Enables Detection of COVID-19 from Chest X-Ray Images

By HospiMedica International staff writers
Posted on 13 Jan 2022
Print article
Illustration
Illustration

A novel machine learning framework could alleviate the work of radiologists by providing fast and accurate diagnosis of COVID-19 from chest X-ray images.

A team of scientists at Incheon National University (Incheon, Korea) has developed an automatic COVID-19 diagnosis framework that turns things up a notch by combining two powerful artificial intelligence (AI)-based techniques. Their system can be trained to accurately differentiate between chest X-ray images of COVID-19 patients from non-COVID-19 ones.

Several studies have reported that AI-based systems can be used to detect COVID-19 in chest X-ray images because the disease tends to produce areas with pus and water in the lungs, which show up as white spots in the X-ray scans. Although various diagnostic AI models based on this principle have been proposed, improving their accuracy, speed, and applicability remains a top priority.

The scientists developed the new COVID-19 detection system by combining the two algorithms Faster R-CNN and ResNet-101. The first one is a machine learning-based model that uses a region-proposal network, which can be trained to identify the relevant regions in an input image. The second one is a deep-learning neural network comprising 101 layers, which was used as a backbone. ResNet-101, when trained with enough input data, is a powerful model for image recognition.

The scientists believe that their strategy could prove useful for the early detection of COVID-19 in hospitals and public health centers. Using automatic diagnostic techniques based on AI technology could take some work and pressure off of radiologists and other medical experts, who have been facing huge workloads since the pandemic started. Moreover, as more modern medical devices become connected to the Internet, it will be possible to feed vast amounts of training data to the proposed model; this will result in even higher accuracies, and not just for COVID-19.

"To the best of our knowledge, our approach is the first to combine ResNet-101 and Faster R-CNN for COVID-19 detection," said Professor Gwanggil Jeon of Incheon National University who led the team. "After training our model with 8800 X-ray images, we obtained a remarkable accuracy of 98%."

"The deep learning approach used in our study are applicable to other types of medical images and could be used to diagnose different diseases," added Prof. Jeon.

Related Links:
Incheon National University 

BMP Whole Blood Analyzer: GEM Premier ChemSTAT
Gold Supplier
12-Channel ECG
CM1200B
New
Infant Phototherapy Incubator
8502H
New
Neonatal Transilluminator
Ibis Infant Vein Viewer

Print article

Channels

AI

view channel
Image: EchoGo Heart Failure is the first and only AI-enabled HFpEF detection platform for echocardiography (Photo courtesy of Ultromics)

AI Solution for Echocardiography to Revolutionize Diagnosis of Heart Failure with Preserved Ejection Fraction

Heart failure with preserved ejection fraction (HFpEF) is a type of heart failure often associated with co-morbidities and tends to be caused by increased pressure within the chambers of the heart.... Read more

Critical Care

view channel
Image: Lodestar DX provides lab-accurate test results in 30 minutes (Photo courtesy of Llusern Scientific)

Portable UTI Molecular Diagnostic Platform Provides Accurate Test Results in 40 Minutes

Despite being one of the most common types of infection Urinary Tract Infections (UTIs) are a comparatively neglected area of medicine. There are no highly accurate diagnostic tools available for point-of-care... Read more

Surgical Techniques

view channel
Image: ActivSight Intelligent Light has received CE Mark approval (Photo courtesy of Activ Surgical)

Enhanced Imaging System to Become a Game-Changer in the OR by Revolutionizing Surgical Vision

Critical structure identification and tissue perfusion assessment are essential for patients to have the best possible chance of healing well without facing life-threatening or costly complications.... Read more

Patient Care

view channel
Image: Automated cleaning system allows endoscopes to be cleaned direct from clinic (Photo courtesy of Aston University)

World’s First Automated Endoscope Cleaner Fights Antimicrobial Resistance

Endoscopes are long, thin tubes with a light and camera at one end. Due to the sensitivity of the materials and electronics they cannot be sterilized in an autoclave (a machine that uses steam under pressure),... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Business

view channel
Image: The global multiparameter patient monitoring systems market is expected to surpass USD 15 billion by 2028 (Photo courtesy of Unsplash)

Global Multiparameter Patient Monitoring Systems Market Driven by Rising Chronic Illnesses

Multi-parameter patient monitoring equipment is used to assess the vital signs of patients who are suffering from a serious illness. These devices are meant to give the number of data sets on one screen... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.