Application of artificial intelligence in liver transplantation

Zhixing LIANG; Linsen YE; Yang YANG

doi:10.3969/j.issn.1001-5256.2022.01.005

Volume 38 Issue 1

Jan. 2022

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Article Navigation > Journal of Clinical Hepatology > 2022 > 38(1): 30-34

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Application of artificial intelligence in liver transplantation

DOI: 10.3969/j.issn.1001-5256.2022.01.005

Department of Hepatic Surgery and Liver Transplantation Center of The Third Affiliated Hospital of Sun Yat-Sen University, Organ Transplantation Institute of Sun Yat-sen University, Organ Transplantation Research Center of Guangdong Province, Guangzhou 510630, China

Research funding:

The Major State Research Development Program during the 13rd Five-Year Plan Period (2017ZX10203205-006-001);

National Key R & D Program of China (2017YFA0104304);

National Natural Science Foundation of China (82103448);

National Natural Science Foundation of China (81770648);

National Natural Science Foundation of China (81972286);

Guangdong Basic and Applied Basic Research Foundation (2019A1515110654);

Natural Science Foundation of Guangdong Province (2015A030312013);

Science and Technology Program of Guangdong Province (2017B020209004);

Science and Technology Program of Guangdong Province (20169013);

Science and Technology Program of Guangdong Province (2020B1212060019);

Science and Technology Program of Guangzhou (201508020262)

Received Date: 2021-10-11
Accepted Date: 2021-10-11
Published Date: 2022-01-20

Abstract

Abstract

With the advent of the era of 5G and big data, complex medical data with multiple dimensions and a large sample size bring both opportunities and challenges for clinical medicine in the new era. Compared with conventional methods, artificial intelligence can detect the hidden patterns within large datasets, and more and more scholars are applying such advanced technology in the diagnosis and treatment of diseases. After development and perfection for more than half a century, liver transplantation has become the most effective treatment method for end-stage liver diseases. Unlike the analysis of "single-patient" data in other fields, liver transplantation usually requires the consideration of the features of both the donor and the recipient and the variables during transplantation, thus generating a larger volume of medical data than other diseases, which is particularly in line with the advantages of artificial intelligence. Effective application of artificial intelligence and its combination with clinical research will usher in the new era of precision medicine. The advantages and limitations of artificial intelligence technology should be comprehensively discussed for the cross-application of artificial intelligence in liver transplantation, and the future directions of this field should also be proposed.
- Liver Transplantation,
- Artificial Intelligence,
- Machine Learning,
- Deep Learning

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References(35)

References

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Application of artificial intelligence in liver transplantation

DOI: 10.3969/j.issn.1001-5256.2022.01.005