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122P A machine learning algorithm facilitates treatment selection for up to three hepatocellular carcinomas ≤3 cm in size

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Year: 2025
Type: article
Source: ESMO Real World Data and Digital Oncology
DOI: 10.1016/j.esmorw.2025.100319
Authors: T. Kokudo, Y. Yamada, Y. Asaoka, R. Tateishi, Y. Kabeya, A. Kamada, S. Yoshida, Y. Nakamura, K. Yoshimitsu, H. Yano, T. Murakami, T. Fukumoto, E. Hatano, M. Shimada, N. Kato, H. Iijima, M. Kurosaki, M. Sakamoto, M. Kudo, N. Kokudo
Institutions: National Center for Global Health and Medicine, Center Hospital of National Center for Global Health and Medicine, Teikyo University, University of Tokyo Hospital, IBM Japan, Ltd. (Japan), Japan Medical Association, Fukuoka University Hospital, Kobe University, Kyoto University, Tokushima University Hospital, Chiba University, Hyogo Medical University, Musashino Red Cross Hospital, International University of Health and Welfare, Kindai University
Language: English

Topic: Hepatocellular Carcinoma Treatment and Prognosis
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: gold
Estimated APC paid: $3,170
OpenAlex ID: W4416780909
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Related to: 10
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