Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence

Yiping LIU; Xinping LI; Lei CHEN; Jinju XIA; Kairong SONG; Ningyang JIA; Wanmin LIU

doi:10.3969/j.issn.1001-5256.2022.03.006

Volume 38 Issue 3

Mar. 2022

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Article Navigation > Journal of Clinical Hepatology > 2022 > 38(3): 521-527

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Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence

DOI: 10.3969/j.issn.1001-5256.2022.03.006

Yiping LIU¹,
Xinping LI¹,
Lei CHEN²,
Jinju XIA¹,
Kairong SONG¹,
Ningyang JIA^{1
,
,
,},
Wanmin LIU^{1, 3
,
,
,}

1.
Department of Radiology, The Third Affiliated Hospital of Navy Medical University & Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
2.
Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201807, China
3.
Department of Radiology, Tongji Hospital Affiliated to Tongji University, Tongji University School of Medicine, Shanghai 200331, China

Research funding:

Special Project for Control and Prevention of Major Infectious Diseases such as AIDS and Hepatitis (2018ZX10302207-004-005)

More Information

Corresponding author: JIA Ningyang, jiany@sh163.net(ORCID: 0000-0001-9587-3637); LIU Wanmin, 18389376537@163.com(ORCID: 0000-0002-8216-0424)
Received Date: 2022-01-04
Accepted Date: 2022-01-14
Published Date: 2022-03-20

Abstract

Abstract

The integration of artificial intelligence into the medical field is developing rapidly and has achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of imaging medicine. This article reviews the research advances in artificial intelligence in imaging diagnosis of hepatocellular carcinoma and its performance in evaluating treatment outcome and predicting prognosis in combination with clinical features and looks forward to how artificial intelligence can be better used in the practice of hepatocellular carcinoma imaging in the era of growing clinical needs and rapid advances in diagnosis and treatment techniques.
- Hepatocellular Carcinoma,
- Diagnostic Imaging,
- Recurrence,
- Forecasting

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References(48)

References

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Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence

DOI: 10.3969/j.issn.1001-5256.2022.03.006

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Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence

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