Response to RMED-D-22-00,258.R1
- PMID: 35751793
- PMCID: PMC9243983
- DOI: 10.1007/s11604-022-01308-8
Response to RMED-D-22-00,258.R1
Comment on
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Correspondence on artificial intelligence algorithm for COVID-19 pneumonia.Jpn J Radiol. 2022 Aug;40(8):859. doi: 10.1007/s11604-022-01292-z. Epub 2022 May 12. Jpn J Radiol. 2022. PMID: 35546372 Free PMC article. No abstract available.
References
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- Ohno Y, Aoyagi K, Takenaka D, et al. Machine learning for lung texture analysis on thin-section CT: capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations. Acta Radiol. 2021;12:2841851211044973. doi: 10.1177/02841851211044973. - DOI - PubMed
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- Simpson S, Kay FU, Abbara S, et al. Radiological society of North America expert consensus document on reporting chest CT findings related to COVID-19: endorsed by the society of thoracic radiology, the American college of radiology, and RSNA. Radiol Cardiothorac Imaging. 2020;2(2):e200152. doi: 10.1148/ryct.2020200152. - DOI - PMC - PubMed
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