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Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation.

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Title: Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation.
Authors: Lee JO; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY., Kim DH; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University, College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Chae HD; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Lee E; College of Medicine, Seoul National University, Seoul, Republic of Korea.; Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea., Kang JH; Department of Radiology, Konkuk University Medical Center, Seoul, Republic of Korea., Lee JH; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University, College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea., Kim HJ; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University, College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Seo J; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University, College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Chai JW; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University, College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2026 May; Vol. 8 (3), pp. e250283.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.250283