TY - JOUR
T1 - Deep learning in hepatocellular carcinoma
T2 - Current status and future perspectives
AU - Ahn, Joseph C.
AU - Qureshi, Touseef Ahmad
AU - Li, Debiao
AU - Singal, Amit G.
AU - Yang, Ju Dong
N1 - Publisher Copyright:
© 2021 The Author(s). Published by Baishideng Publishing Group Inc. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and death. Despite decades of research and development of new treatment options, the overall outcomes of patients with HCC continue to remain poor. There are areas of unmet need in risk prediction, early diagnosis, accurate prognostication, and individualized treatments for patients with HCC. Recent years have seen an explosive growth in the application of artificial intelligence (AI) technology in medical research, with the field of HCC being no exception. Among the various AI-based machine learning algorithms, deep learning algorithms are considered state-of-the-art techniques for handling and processing complex multimodal data ranging from routine clinical variables to high-resolution medical images. This article will provide a comprehensive review of the recently published studies that have applied deep learning for risk prediction, diagnosis, prognostication, and treatment planning for patients with HCC.
AB - Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and death. Despite decades of research and development of new treatment options, the overall outcomes of patients with HCC continue to remain poor. There are areas of unmet need in risk prediction, early diagnosis, accurate prognostication, and individualized treatments for patients with HCC. Recent years have seen an explosive growth in the application of artificial intelligence (AI) technology in medical research, with the field of HCC being no exception. Among the various AI-based machine learning algorithms, deep learning algorithms are considered state-of-the-art techniques for handling and processing complex multimodal data ranging from routine clinical variables to high-resolution medical images. This article will provide a comprehensive review of the recently published studies that have applied deep learning for risk prediction, diagnosis, prognostication, and treatment planning for patients with HCC.
KW - Artificial intelligence
KW - Deep learning
KW - Hepatocellular carcinoma
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U2 - 10.4254/wjh.v13.i12.2039
DO - 10.4254/wjh.v13.i12.2039
M3 - Article
C2 - 35070007
AN - SCOPUS:85123882479
SN - 1948-5182
VL - 13
SP - 2039
EP - 2051
JO - World Journal of Hepatology
JF - World Journal of Hepatology
IS - 12
ER -