Comparison of CO-RADS Scores Based on Visual and Artificial Intelligence Assessments in a Non-Endemic Area
In this study, we first developed an artificial intelligence (AI)-based algorithm for classifying chest computed tomography (CT) images using the coronavirus disease 2019 Reporting and Data System (CO-RADS). Subsequently, we evaluated its accuracy by comparing the calculated scores with those assign...
Main Authors: | Yoshinobu Ishiwata, Kentaro Miura, Mayuko Kishimoto, Koichiro Nomura, Shungo Sawamura, Shigeru Magami, Mizuki Ikawa, Tsuneo Yamashiro, Daisuke Utsunomiya |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/12/3/738 |
Similar Items
-
Correlation of clinical, laboratory, ventilation, and outcome parameters in hospitalized Coronavirus Disease 2019-infected patients with computed tomography severity score
by: Mohammed A Ibrahim, et al.
Published: (2023-01-01) -
Coronavirus fear assessment using the modified COVID-19 fear scale among Indian dentists practicing in the Delhi NCR region
by: Harsimran Kaur, et al.
Published: (2023-01-01) -
Long-term outcome of pulmonary involvement in patients with coronavirus disease 2019: The role of high-resolution computed tomography and functional status – A prospective single-center observational study
by: Sadia Imtiaz, et al.
Published: (2024-04-01) -
Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort
by: Kiyohito Hayashi, et al.
Published: (2024-06-01) -
Laboratory inflammatory parameters depending on the COVID-19 test result
by: Mirza Izmirlija, et al.
Published: (2023-09-01)