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

Download Mobile App





‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans

By HospiMedica International staff writers
Posted on 04 Jul 2022
Print article
Image: Researchers have created ‘Covid computer’ to speed up diagnosis (Photo courtesy of Pexels)
Image: Researchers have created ‘Covid computer’ to speed up diagnosis (Photo courtesy of Pexels)

Currently, the diagnosis of COVID-19 is based on nucleic acid testing, or PCR tests as they are commonly known. These tests can produce false negatives and results can also be affected by hysteresis – when the physical effects of an illness lag behind their cause. Artificial intelligence (AI) offers an opportunity to rapidly screen and effectively monitor COVID-19 cases on a large scale, reducing the burden on doctors. Now, researchers have created a new AI tool that can detect COVID-19. The software analyses chest CT scans and uses deep learning algorithms to accurately diagnose the disease. With an accuracy rate of 97.86%, it is currently the most successful COVID-19 diagnostic tool in the world.

Researchers from the University of Leicester (Leicester, UK) who developed the new AI tool will now further develop this technology in the hope that the Covid computer may eventually replace the need for radiologists to diagnose COVID-19 in clinics. The software, which can even be deployed in portable devices such as smart phones, will also be adapted and expanded to detect and diagnose other diseases (such as breast cancer, Alzheimer’s Disease, and cardiovascular diseases).

"Our research focuses on the automatic diagnosis of COVID-19 based on random graph neural network. The results show that our method can find suspicious regions in the chest images automatically and make accurate predictions based on the representations," said Professor Yudong Zhang, Professor of Knowledge Discovery and Machine Learning at the University of Leicester. "The accuracy of the system means that it can be used in the clinical diagnosis of COVID-19, which may help to control the spread of the virus. We hope that, in the future, this type of technology will allow for automated computer diagnosis without the need for manual intervention, in order to create a smarter, efficient healthcare service."

Related Links:
University of Leicester 


Print article
IIR Middle East

Channels

Critical Care

view channel
Image: Three dimensional measurement of the all-mesh thermistor (Photo courtesy of Shinshu University)

Ultraflexible, Gas-Permeable Thermistors to Pave Way for On-Skin Medical Sensors and Implantable Devices

On-skin medical sensors and wearable health devices are important health care tools that must be incredibly flexible and ultrathin so they can move with the human body. In addition, the technology has... Read more

Surgical Techniques

view channel
Image: The POINT Kinguide robotic-assisted surgical system has made its debut in the US (Photo courtesy of Point Robotics)

First-Ever Spinal Surgical Hand-Held Robot Makes Worldwide Debut

The world’s first ever hand-held robot framework equipped with a parallel manipulator for orthopedic application has made its worldwide debut in the U.S. Point Robotics MedTech Inc. (Taipei, Taiwan) has... Read more

Patient Care

view channel
Image: The biomolecular film can be picked up with tweezers and placed onto a wound (Photo courtesy of TUM)

Biomolecular Wound Healing Film Adheres to Sensitive Tissue and Releases Active Ingredients

Conventional bandages may be very effective for treating smaller skin abrasions, but things get more difficult when it comes to soft-tissue injuries such as on the tongue or on sensitive surfaces like... 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
Copyright © 2000-2022 Globetech Media. All rights reserved.