Artificial intelligence in liver cancer research: a scientometrics analysis of trends and topics

Mohammad Saeid Rezaee-Zavareh ¹, Naomy Kim ², Yee Hui Yeo ²

¹Middle East Liver Diseases Center, Tehran, Iran.
²Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
³Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
⁴Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
⁵Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, CA, United States.
⁶BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY, United States.
⁷Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
⁸Department of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
⁹Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
¹⁰Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
¹¹Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
¹²Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.

⁰Middle East Liver Diseases Center, Tehran, Iran.

Frontiers in Oncology +

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March 14, 2024

View abstract on PubMed

Summary

Artificial intelligence (AI) is rapidly advancing liver cancer research, with a 12.7-fold increase in AI-related publications over the last decade. Key applications include medical image analysis, diagnostic biomarkers, and genomic analysis, with China, the US, and Germany leading contributions.

Area Of Science

Scientometrics
Artificial Intelligence
Oncology

Background

Understanding the impact of artificial intelligence (AI) on liver cancer research is crucial due to the rapid growth of AI applications.
This scientometrics project investigates publication trends and topics in AI-related liver cancer research.

Approach

A comprehensive search strategy was employed using the Scopus database to identify AI-related publications in liver cancer.
Analysis included publication counts, author affiliations, publishing journals, and grouping publications by intended application.

Key Points

Identified 3950 publications from 1968 to August 2023, with a 12.7-fold increase in AI publications from 2013-2022, significantly outpacing overall liver cancer publication growth.
A notable trend shift occurred in 2019, with a consistent increase in AI publications over time (tau = 0.756, p < 0.0001).
Top publication categories were medical image analysis (37%), diagnostic/prognostic biomarkers (19%), and genomic analysis (18%). Radiology journals dominated.
China (1156), the US (719), and Germany (236) were the leading contributors.

Conclusions

There is a significant and growing interest in applying AI to liver cancer research, as evidenced by the substantial increase in publications.
Medical image analysis is a primary application area for AI in liver cancer research.
China, the US, and Germany are at the forefront of AI-driven liver cancer research publications.

Keywords:

artificial intelligence liver cancer machine learning publication trend analysis scientometrics

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