Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence–Based 3D T1 MRI Volumetric Analysis

Joonhyung Lee; Dana Kim; Chong Hyun Suh; Suyoung Yun; Kyu Sung Choi; Seungjun Lee; Wooseok Jung; Jinyoung Kim; Hwon Heo; Woo Hyun Shim; Sungyang Jo; Sun Ju Chung; Jae-Sung Lim; Ho Sung Kim; Sang Joon Kim; Jae-Hong Lee

doi:10.3174/ajnr.A8489

Research ArticleARTIFICIAL INTELLIGENCE

Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence–Based 3D T1 MRI Volumetric Analysis

Joonhyung Lee, Dana Kim, Chong Hyun Suh, Suyoung Yun, Kyu Sung Choi, Seungjun Lee, Wooseok Jung, Jinyoung Kim, Hwon Heo, Woo Hyun Shim, Sungyang Jo, Sun Ju Chung, Jae-Sung Lim, Ho Sung Kim, Sang Joon Kim and Jae-Hong Lee

American Journal of Neuroradiology January 2025, DOI: https://doi.org/10.3174/ajnr.A8489

Joonhyung Lee

aFrom the NAVER Cloud Inc (J.L.), Seoul, Republic of Korea

fVUNO Inc (J.L., S.L., W.J., J.K.), Seoul, Republic of Korea

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Dana Kim

bUniversity of Ulsan College of Medicine (D.K.,), Seoul, Republic of Korea

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Chong Hyun Suh

cDepartment of Radiology and Research Institute of Radiology (C.H.S., H.H., W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Suyoung Yun

dDepartment of Radiology (S.Y.), Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea

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Kyu Sung Choi

eDepartment of Radiology (K.S.C.), Seoul National University Hospital, Seoul, Republic of Korea

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Seungjun Lee

fVUNO Inc (J.L., S.L., W.J., J.K.), Seoul, Republic of Korea

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Wooseok Jung

fVUNO Inc (J.L., S.L., W.J., J.K.), Seoul, Republic of Korea

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Jinyoung Kim

fVUNO Inc (J.L., S.L., W.J., J.K.), Seoul, Republic of Korea

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Hwon Heo

cDepartment of Radiology and Research Institute of Radiology (C.H.S., H.H., W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Woo Hyun Shim

cDepartment of Radiology and Research Institute of Radiology (C.H.S., H.H., W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Sungyang Jo

gDepartment of Neurology (S.J., S.J.C., J.-S.L., J.-H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Sun Ju Chung

gDepartment of Neurology (S.J., S.J.C., J.-S.L., J.-H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Jae-Sung Lim

gDepartment of Neurology (S.J., S.J.C., J.-S.L., J.-H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Ho Sung Kim

cDepartment of Radiology and Research Institute of Radiology (C.H.S., H.H., W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Sang Joon Kim

cDepartment of Radiology and Research Institute of Radiology (C.H.S., H.H., W.H.S., H.S.K., S.J.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Jae-Hong Lee

gDepartment of Neurology (S.J., S.J.C., J.-S.L., J.-H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence–Based 3D T1 MRI Volumetric Analysis

American Journal of Neuroradiology Jan 2025, DOI: 10.3174/ajnr.A8489

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Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence–Based 3D T1 MRI Volumetric Analysis

American Journal of Neuroradiology Jan 2025, DOI: 10.3174/ajnr.A8489

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