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
GLOBETECH PUBLISHING LLC

Download Mobile App




Pioneering AI Automatically Diagnoses Lung Diseases from X-Ray Images

By MedImaging International staff writers
Posted on 08 Nov 2022
Print article
Image: Artificial intelligence could help ease hospital pressures (Photo courtesy of University of the West of Scotland)
Image: Artificial intelligence could help ease hospital pressures (Photo courtesy of University of the West of Scotland)

Tuberculosis and pneumonia – potentially serious infections which mainly affect the lungs –often require a combination of different diagnostic tests– such as CT scans, blood tests, X-rays, and ultrasounds. These tests can be expensive, with often lengthy waiting times for results. Now, pioneering artificial intelligence (AI) which automatically diagnoses lung diseases – such as tuberculosis and pneumonia – from X-ray images could ease winter pressures on hospitals.

The revolutionary technology developed by researchers at University of the West of Scotland (Scotland, UK) was originally created to quickly detect COVID-19 from X-ray images but has been proven to automatically identify a range of different lung diseases in a matter of minutes, with around 98% accuracy. It is hoped that the technology can be used to help relieve strain on pressured hospital departments through the quick and accurate detection of disease – freeing up radiographers continuously in high demand; reducing waiting times for test results; and creating efficiencies within the testing process.

The state-of-the-art technique utilizes X-ray technology, comparing scans to a database of thousands of images from patients with pneumonia, tuberculosis and COVID. It then uses a process known as deep convolutional neural network – an algorithm typically used to analyze visual imagery – to make a diagnosis. During an extensive testing phase, the technique proved to be 98% accurate. Researchers at UWS are now exploring the suitability of the technology in detecting other diseases using X-ray images, such as cancer.

“There is no doubt that hospital departments across the globe are under pressure and the outbreak of COVID-19 exacerbated this, adding further strain to pressured departments and staff. There is a real need for technology that can help ease some of these pressures and detect a range of different diseases quickly and accurately, helping free up valuable staff time,” said Professor Ramzan, Director of the Affective and Human Computing for SMART Environments Research Centre at UWS, who led the development of the technology. “X-ray imaging is a relatively cheap and accessible diagnostic tool that already assists in the diagnosis of various conditions, including pneumonia, tuberculosis and COVID-19. Recent advances in AI have made automated diagnosis using chest X-ray scans a very real prospect in medical settings.”

Related Links:
University of the West of Scotland

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers
Mammography System
MAMMOVISTA B.smart
New
Thyroid Shield
Standard Thyroid Shield

Print article
Radcal

Channels

MRI

view channel
Image: Researchers have created a new MRI brain extraction tool for neonates (Photo courtesy of 123RF)

Deep Learning Algorithm Performs Automatic Segmentation of Neonatal Brains from MR Images

Magnetic Resonance Imaging (MRI) is a vital tool in medical diagnostics, particularly because of its high-resolution images and superior soft tissue contrast, which make it crucial for brain evaluations.... Read more

Ultrasound

view channel
Mindray`s comprehensive range of ultrasound machines include the Resona I9 (photo courtesy of Mindray)

Non-Invasive Ultrasound Technique Helps Identify Life-Changing Complications after Neck Surgery

Nasopharyngoscopy is an intrusive diagnostic medical procedure that involves the examination of the internal structures of the nose and throat (nasopharynx) using an endoscope inserted through the patient’s nose.... Read more

Nuclear Medicine

view channel
Image: The PET imaging technique can noninvasively detect active inflammation before clinical symptoms arise (Photo courtesy of 123RF)

New PET Tracer Detects Inflammatory Arthritis Before Symptoms Appear

Rheumatoid arthritis, the most common form of inflammatory arthritis, affects 18 million people globally. It is a complex autoimmune disease marked by chronic inflammation, leading to cartilage and bone... Read more

General/Advanced Imaging

view channel
Image: The new AI-enabled CT 5300 aims to bring confident diagnosis to more patients at low cost (Photo courtesy of Royal Philips)

AI-Enabled CT System Provides More Accurate and Reliable Imaging Results

Computed Tomography (CT) plays a critical role in diagnosing cardiac diseases. Recent research advocates a "CT first" approach for patients with chest pain and undiagnosed coronary artery disease, thus... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: The acquisition will expand IBA’s medical imaging quality assurance offering (Photo courtesy of Radcal)

IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering

Ion Beam Applications S.A. (IBA, Louvain-La-Neuve, Belgium), the global leader in particle accelerator technology and a world-leading provider of dosimetry and quality assurance (QA) solutions, has entered... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.