Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs von Nam, Ju Gang, Park, Sunggyun, Hwang, Eui Jin, Lee, Jong Hyuk, Jin, Kwang-Nam, Lim, Kun Young, Vu, Thienkai Huy, Sohn, Jae Ho, Hwang, Sangheum, Goo, Jin Mo, Park, Chang Min

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Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs von Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G, Ferretti, Gilbert R, Park, Chang Min

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Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs von Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Park, Chang Min

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Long-Term Follow-Up of Ground-Glass Nodules After 5 Years of Stability von Lee, Hyun Woo, Jin, Kwang-Nam, Lee, Jung-Kyu, Kim, Deog Kyeom, Chung, Hee Soon, Heo, Eun Young, Choi, Seung Ho

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Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology von Hwang, Eui Jin, Goo, Jin Mo, Yoon, Soon Ho, Beck, Kyongmin Sarah, Seo, Joon Beom, Choi, Byoung Wook, Chung, Myung Jin, Park, Chang Min, Jin, Kwang Nam, Lee, Sang Min

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2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radi... von Yoon, Soon Ho, Lee, Sang Min, Park, Chul Hwan, Lee, Jong Hyuk, Kim, Hyungjin, Chae, Kum Ju, Jin, Kwang Nam, Lee, Kyung Hee, Kim, Jung Im, Hong, Jung Hee, Hwang, Eui Jin, Kim, Heekyung, Suh, Young Joo, Park, Samina, Park, Young Sik, Kim, Dong Wan, Choi, Miyoung, Park, Chang Min

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Coronary artery assessment using self-navigated free-breathing radial whole-heart magnetic resonance angiography in patients with congenital heart disease von Albrecht, Moritz H., Varga-Szemes, Akos, Schoepf, U. Joseph, Apfaltrer, Georg, Xu, Jiaqian, Jin, Kwang-Nam, Hlavacek, Anthony M., Chowdhury, Shahryar M., Suranyi, Pal, Tesche, Christian, De Cecco, Carlo N., Piccini, Davide, Stuber, Matthias, Ginami, Giulia, Vogl, Thomas J., Nutting, Arni

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Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort von Yoo, Hyunsuk, Kim, Eun Young, Kim, Hyungjin, Choi, Ye Ra, Kim, Moon Young, Hwang, Sung Ho, Kim, Young Joong, Cho, Young Jun, Jin, Kwang Nam

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Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs von Kim, Ue-Hwan, Kim, Moon Young, Park, Eun-Ah, Lee, Whal, Lim, Woo-Hyun, Kim, Hack-Lyoung, Oh, Sohee, Jin, Kwang Nam

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Phenotypic clusters on computed tomography reflects asthma heterogeneity and severity von Kim, Sujeong, Choi, Sanghun, Kim, Taewoo, Jin, Kwang Nam, Cho, Sang-Heon, Lee, Chang Hyun, Kang, Hye-Ryun

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Risk of thyroid cancer in a lung cancer screening population of the National Lung Screening Trial according to the presence of incidental thyroid nodules detected on low-dose chest... von Seo, Hyobin, Jin, Kwang Nam, Park, Ji Sang, Kang, Koung Mi, Lee, Eun Kyung, Lee, Ji Ye, Yoo, Roh-Eul, Park, Young Joo, Kim, Ji-Hoon

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The regional association between bronchiectasis and lung cancer in chest CT von Kim, Yeon Wook, Lee, Chang-Hoon, Jin, Kwang-Nam, Lee, Jung-Kyu, Heo, Eun Young, Park, Sung Soo, Chung, Hee Soon, Kim, Deog Kyeom

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Chest Radiographs and CT Findings during Healthcare Workers' Tuberculosis Screening Using Interferon-Gamma Release Assay: Retrospective Observational Study von Choi, Ye Ra, Lee, Jung-Kyu, Heo, Eun Young, Kim, Deog Kyeom, Jin, Kwang Nam

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Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study von Jin, Kwang Nam, Kim, Eun Young, Kim, Young Jae, Lee, Gi Pyo, Kim, Hyungjin, Oh, Sohee, Kim, Yong Suk, Han, Ju Hyuck, Cho, Young Jun

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Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort von Kim, Eun Young, Kim, Young Jae, Choi, Won-Jun, Jeon, Ji Soo, Kim, Moon Young, Oh, Dong Hyun, Jin, Kwang Nam, Cho, Young Jun

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Machine learning-based prediction of in-ICU mortality in pneumonia patients von Jeon, Eun-Tae, Lee, Hyo Jin, Park, Tae Yun, Jin, Kwang Nam, Ryu, Borim, Lee, Hyun Woo, Kim, Dong Hyun

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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography von Kwon, TaeWoo, Lee, Sang Pyo, Kim, Dongmin, Jang, Jinseong, Lee, Myungjae, Kang, Shin Uk, Kim, Heejin, Oh, Keunyoung, On, Jinhee, Kim, Young Jae, Yun, So Jeong, Jin, Kwang Nam, Kim, Eun Young, Kim, Kwang Gi

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Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study von Lee, Hyun Woo, Yang, Hyun Jun, Kim, Hyungjin, Kim, Ue-Hwan, Kim, Dong Hyun, Yoon, Soon Ho, Ham, Soo-Youn, Nam, Bo Da, Chae, Kum Ju, Lee, Dabee, Yoo, Jin Young, Bak, So Hyeon, Kim, Jin Young, Kim, Jin Hwan, Kim, Ki Beom, Jung, Jung Im, Lim, Jae-Kwang, Lee, Jong Eun, Chung, Myung Jin, Lee, Young Kyung, Kim, Young Seon, Lee, Sang Min, Kwon, Woocheol, Park, Chang Min, Kim, Yun-Hyeon, Jeong, Yeon Joo, Jin, Kwang Nam, Goo, Jin Mo

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Diffusing capacity as an independent predictor of acute exacerbations in chronic obstructive pulmonary disease von Park, Heemoon, Lee, Hyo Jin, Lee, Jung-Kyu, Park, Tae Yun, Jin, Kwang Nam, Heo, Eun Young, Kim, Deog Kyeom, Lee, Hyun Woo

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Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study von Lee, Hyun Woo, Yang, Hyun Jun, Kim, Hyungjin, Kim, Ue-Hwan, Kim, Dong Hyun, Yoon, Soon Ho, Ham, Soo-Youn, Nam, Bo Da, Chae, Kum Ju, Lee, Dabee, Yoo, Jin Young, Bak, So Hyeon, Kim, Jin Young, Kim, Jin Hwan, Kim, Ki Beom, Jung, Jung Im, Lim, Jae-Kwang, Lee, Jong Eun, Chung, Myung Jin, Lee, Young Kyung, Kim, Young Seon, Lee, Sang Min, Kwon, Woocheol, Park, Chang Min, Kim, Yun-Hyeon, Jeong, Yeon Joo, Jin, Kwang Nam, Goo, Jin Mo

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