COVID-19 AI model boosts disease detection by radiologists

A deep-learning (DL) AI algorithm designed to help clinicians diagnose COVID-19 has been validated in a study by radiologists who interpreted x-rays with and without the model, according to a study published October 16 in Scientific Reports.A team led by Takamichi Murakami, MD, PhD, of Kobe University in Kobe, Japan, found that the DL model was more accurate than six of eight radiologist readers and that the accuracy of the readers improved when they used the AI.“This DL model of CXRs may be useful, especially in areas where medical resources are limited,” the group wrote.While the development of vaccines and measures to prevent the spread of COVID-19 have succeeded in reducing the number of infected people, the threat of the disease continues worldwide, the authors noted.Many studies have shown that DL models can accurately diagnose COVID-19 on chest x-rays (including a previous study using this model), the group added. However, only a few have compared the diagnostic performance of DL models and radiologists, a step needed to determine whether the model may be clinically useful, they wrote.To that end, the group used a previously unseen dataset consisting of 180 chest x-ray cases (60 normal, 60 pneumonia, and 60 COVID-19) from patients diagnosed with the disease using RT-PCR tests between January 24, 2020, and May 5, 2020.Results of Grad-CAM and Grad-CAM++ for the deep-learning model: (A) normal, (B) pneumonia, and (C) COVID-19. Left column, original chest x-ray image; ...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Digital X-Ray Artificial Intelligence Source Type: news