Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dabee, Lee"'
Autor:
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e51951 (2023)
Externí odkaz:
https://doaj.org/article/2f488acb09e14f218d74a3e232776c35
Autor:
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42717 (2023)
BackgroundAn artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. ObjectiveWe aimed to develop and validate a prediction model using CXR based on an AI model and clinical var
Externí odkaz:
https://doaj.org/article/6d9afc9176334d08a33aba54e963313e
Publikováno v:
대한영상의학회지, Vol 78, Iss 1, Pp 1-12 (2018)
Chronic Obstructive Pulmonary Disease (COPD) is a complex heterogeneous condition with various clinical and pathologic features. In recent years, technical advances in quantitative CT imaging have generated considerable interest because they can pro
Externí odkaz:
https://doaj.org/article/406d988450f842aab5b335975bde6665
Autor:
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
BACKGROUND An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. OBJECTIVE We aimed to develop and validate a prediction model using CXR based on an AI model and clinical va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb7fb1a6ce1eaf3f7f0bef68c1911f56
https://doi.org/10.2196/preprints.42717
https://doi.org/10.2196/preprints.42717
Autor:
Goohyeon, Hong, Ho Jin, Yong, Dabee, Lee, Doh Hyung, Kim, Youn Seup, Kim, Jae-Suk, Park, Young Koo, Jee
Publikováno v:
J Thorac Dis
BACKGROUND: Raoultella planticola, considered to be an environmental organism, is a rare cause of human infections. Although in recent years the frequency of R. planticola infections reported in the literature has increased, few cases of pneumonia ca
Autor:
Jae-Kwang Lim, Soo Youn Ham, Soon Ho Yoon, Jong Eun Lee, Jin Young Kim, Yeon Joo Jeong, Young Seon Kim, Jung Im Jung, Chang Min Park, Sang Min Lee, Kum Ju Chae, Myung Jin Chung, Bo Da Nam, Yun Hyeon Kim, Young Kyung Lee, Woocheol Kwon, So Hyeon Bak, Dabee Lee, Jin Hwan Kim, Ki Beom Kim, Ji Eun Jo, Jin Young Yoo
Publikováno v:
Journal of Korean Medical Science
Background The Korean Society of Thoracic Radiology (KSTR) recently constructed a nation-wide coronavirus disease 2019 (COVID-19) database and imaging repository, referred to the Korean imaging cohort of COVID-19 (KICC-19) based on the collaborative
Publikováno v:
Journal of Medical Imaging and Radiation Oncology. 60:182-186
Introduction To identify reliable CT features and assess the diagnostic performance of 64-multidetector CT (MDCT) in diagnosing non-traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgical