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      KCI등재 SCIE SCOPUS

      Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

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      https://www.riss.kr/link?id=A108235258

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      참고문헌 (Reference)

      1 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, "Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology" 대한영상의학회 22 (22): 1743-1748, 2021

      2 Edwards M, "The presence of radiological features on chest radiographs : how well do clinicians agree?" 67 : 664-668, 2012

      3 Fazal MI, "The past, present and future role of artificial intelligence in imaging" 105 : 246-250, 2018

      4 Tandon YK, "Putting artificial intelligence(AI)on the spot : machine learning evaluation of pulmonary nodules" 12 : 6954-6965, 2020

      5 Lee JH, "Performance of a deep learning algorithm compared with radiologic interpretation for lung cancer detection on chest radiographs in a health screening population" 297 : 687-696, 2020

      6 Eui Jin Hwang ; 김형진 ; Soon Ho Yoon ; Jin Mo Goo ; 박창민, "Implementation of a Deep Learning-Based Computer- Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19" 대한영상의학회 21 (21): 1150-1160, 2020

      7 van Leeuwen KG, "How does artificial intelligence in radiology improve efficiency and health outcomes" 2021

      8 Mehrotra P, "Do radiologists still need to report chest x rays?" 85 : 339-341, 2009

      9 Jin KN, "Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography : a multicenter respiratory outpatient diagnostic cohort study" 32 : 3469-3479, 2022

      10 Hwang EJ, "Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs" 2 : e191095-, 2019

      1 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, "Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology" 대한영상의학회 22 (22): 1743-1748, 2021

      2 Edwards M, "The presence of radiological features on chest radiographs : how well do clinicians agree?" 67 : 664-668, 2012

      3 Fazal MI, "The past, present and future role of artificial intelligence in imaging" 105 : 246-250, 2018

      4 Tandon YK, "Putting artificial intelligence(AI)on the spot : machine learning evaluation of pulmonary nodules" 12 : 6954-6965, 2020

      5 Lee JH, "Performance of a deep learning algorithm compared with radiologic interpretation for lung cancer detection on chest radiographs in a health screening population" 297 : 687-696, 2020

      6 Eui Jin Hwang ; 김형진 ; Soon Ho Yoon ; Jin Mo Goo ; 박창민, "Implementation of a Deep Learning-Based Computer- Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19" 대한영상의학회 21 (21): 1150-1160, 2020

      7 van Leeuwen KG, "How does artificial intelligence in radiology improve efficiency and health outcomes" 2021

      8 Mehrotra P, "Do radiologists still need to report chest x rays?" 85 : 339-341, 2009

      9 Jin KN, "Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography : a multicenter respiratory outpatient diagnostic cohort study" 32 : 3469-3479, 2022

      10 Hwang EJ, "Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs" 2 : e191095-, 2019

      11 Nam JG, "Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs" 57 : 2003061-, 2021

      12 Çallı E, "Deep learning for chest X-ray analysis : a survey" 72 : 102125-, 2021

      13 Sim Y, "Deep convolutional neural network–based software improves radiologist detection of malignant lung nodules on chest radiographs" 294 : 199-209, 2020

      14 김수정 ; 노지웅 ; 김성원 ; 박진영 ; 최동훈, "Current State and Strategy for Establishing a Digitally Innovative Hospital - Memorial Review Article for Opening of Yongin Severance Hospital -" 연세대학교의과대학 61 (61): 647-651, 2020

      15 van Ginneken B, "Computeraided diagnosis : how to move from the laboratory to the clinic" 261 : 719-732, 2011

      16 van Ginneken B, "Computer-aided diagnosis in chest radiography : beyond nodules" 72 : 226-230, 2009

      17 Eisen LA, "Competency in chest radiography. A comparison of medical students, residents, and fellows" 21 : 460-465, 2006

      18 황의진 ; 박창민, "Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges" 대한영상의학회 21 (21): 511-525, 2020

      19 van Leeuwen KG, "Artificial intelligence in radiology : 100commercially available products and their scientific evidence" 31 : 3797-3804, 2021

      20 Kulkarni S, "Artificial intelligence in medicine : where are we now?" 27 : 62-70, 2020

      21 Chassagnon G, "Artificial intelligence applications for thoracic imaging" 123 : 108774-, 2020

      22 Coppola F, "Artificial intelligence : radiologists’expectations and opinions gleaned from a nationwide online survey" 126 : 63-71, 2021

      23 Scheetz J, "A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology" 11 : 5193-, 2021

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2016-11-15 학회명변경 영문명 : The Korean Radiological Society -> The Korean Society of Radiology KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.61 0.46 1.15
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.93 0.84 0.494 0.06
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