Deep-learning model able to diagnose COVID-19 from X-rays alone

A multi-institution research team has developed an artificial intelligence (AI) model that can rapidly detect COVID-19 in chest X-rays with greater than 98% accuracy. The deep-learning application was able to differentiate not only between healthy lungs and those infected with COVID-19, but it can also diagnose patients with all-cause pneumonia solely from an X-ray image. The results are published in Scientific Reports. [1]

“The most widely used COVID-19 test, real time polymerase chain reaction (PCR), can be slow and costly, and produce false-negatives. To confirm a diagnosis, radiologists need to manually examine CT scans or X-rays, which can be time consuming and prone to error,” study co-author Amir Gandomi from Australia’s University of Technology Sydney said in a statement announcing the study results.  

Given the time-consuming nature of having a radiologist review X-Ray images—combined with the potential for error—the research team sought to measure how well AI can speed up the process. For their study, they developed a deep-learning program from the popular convolutional neural network (CNN) model, which typically performs well analyzing images and has been used in other studies involving X-rays.

The custom-CNN model was trained on a dataset of images of normal lungs, those of COVID-19 patients, and X-rays of lungs where viral pneumonia was present. Combination images were also used, such as lungs that showed COVID-19 infection without pneumonia, and images from patients who had pneumonia but not COVID-19.

When reviewing images outside its training data, the model showed a greater than 98% accuracy of diagnosing a patient based on the lung X-rays. When the custom CNN was pitted against other AI, it outperformed them as well, signaling that the custom-CNN developed by the researchers may have real-world value for the diagnosis of COVID-19. 

“The new AI system could be particularly beneficial in countries experiencing high levels of COVID-19 where there is a shortage of radiologists. Chest X-rays are portable, widely available and provide lower exposure to ionizing radiation than CT scans,” Gandomi concluded.

Chad Van Alstin Health Imaging Health Exec

Chad is an award-winning writer and editor with over 15 years of experience working in media. He has a decade-long professional background in healthcare, working as a writer and in public relations.

Around the web

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

Trimed Popup
Trimed Popup