Radiographic findings in COVID-19: Comparison between AI and radiologist

被引:7
|
作者
Sukhija, Arsh [1 ]
Mahajan, Mangal [1 ]
Joshi, Priscilla C. [1 ]
Dsouza, John [1 ]
Seth, Nagesh D. N. [1 ]
Patil, Karamchand H. [2 ]
机构
[1] Bharati Vidyapeeth Deemed Univ Med Coll & Hosp, Dept Radiodiag & Imaging, Pune, Maharashtra, India
[2] Bharati Vidyapeeth Deemed Univ Med Coll & Hosp, Dept Community Med, Pune, Maharashtra, India
来源
INDIAN JOURNAL OF RADIOLOGY AND IMAGING | 2021年 / 31卷 / 05期
关键词
Artificial intelligence; chest radiographs; COVID pneumonia; rapid triaging; CLINICAL CHARACTERISTICS;
D O I
10.4103/ijri.IJRI_777_20
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Context: As the burden of COVID-19 enhances, the need of a fast and reliable screening method is imperative. Chest radiographs plays a pivotal role in rapidly triaging the patients. Unfortunately, in low-resource settings, there is a scarcity of trained radiologists. Aim: This study evaluates and compares the performance of an artificial intelligence (AI) system with a radiologist in detecting chest radiograph findings due to COVID-19. Subjects and Methods: The test set consisted of 457 CXR images of patients with suspected COVID-19 pneumonia over a period of three months. The radiographs were evaluated by a radiologist with experience of more than 13 years and by the AI system (NeuraCovid, a web application that pairs with the AI model COVID-NET). Performance of AI system and the radiologist were compared by calculating the sensitivity, specificity and generating a receiver operating characteristic curve. RT-PCR test results were used as the gold standard. Results: The radiologist obtained a sensitivity and specificity of 44.1% and 92.5%, respectively, whereas the AI had a sensitivity and specificity of 41.6% and 60%, respectively. The area under curve for correctly classifying CXR images as COVID-19 pneumonia was 0.48 for the AI system and 0.68 for the radiologist. The radiologist's prediction was found to be superior to that of the AI with a P VALUE of 0.005. Conclusion: The specificity and sensitivity of detecting lung involvement in COVID-19, by the radiologist, was found to be superior to that by the AI system.
引用
收藏
页码:S87 / S93
页数:7
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