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人工智能在癌症检测中的应用——文献计量分析与未来研究方向。

Artificial Intelligence for Cancer Detection-A Bibliometric Analysis and Avenues for Future Research.

机构信息

Information Systems and Strategic IT Management, University of Duisburg-Essen, 45141 Essen, Germany.

International Accounting, University of Duisburg-Essen, 45141 Essen, Germany.

出版信息

Curr Oncol. 2023 Jan 29;30(2):1626-1647. doi: 10.3390/curroncol30020125.

DOI:10.3390/curroncol30020125
PMID:36826086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9954989/
Abstract

After cardiovascular diseases, cancer is responsible for the most deaths worldwide. Detecting a cancer disease early improves the chances for healing significantly. One group of technologies that is increasingly applied for detecting cancer is artificial intelligence. Artificial intelligence has great potential to support clinicians and medical practitioners as it allows for the early detection of carcinomas. During recent years, research on artificial intelligence for cancer detection grew a lot. Within this article, we conducted a bibliometric study of the existing research dealing with the application of artificial intelligence in cancer detection. We analyzed 6450 articles on that topic that were published between 1986 and 2022. By doing so, we were able to give an overview of this research field, including its key topics, relevant outlets, institutions, and articles. Based on our findings, we developed a future research agenda that can help to advance research on artificial intelligence for cancer detection. In summary, our study is intended to serve as a platform and foundation for researchers that are interested in the potential of artificial intelligence for detecting cancer.

摘要

在心血管疾病之后，癌症是导致全球死亡人数最多的疾病。早期发现癌症疾病显著提高了治愈的机会。人工智能是用于检测癌症的一类越来越受欢迎的技术。人工智能具有很大的潜力来支持临床医生和医疗从业者，因为它可以实现对癌前病变的早期检测。近年来，关于癌症检测的人工智能研究有了很大的增长。在本文中，我们对现有的涉及人工智能在癌症检测中的应用的研究进行了文献计量学研究。我们分析了 1986 年至 2022 年间发表的 6450 篇关于该主题的文章。通过这样做，我们能够概述该研究领域，包括其主要议题、相关出版物、机构和文章。基于我们的发现，我们制定了一个未来的研究议程，以帮助推进人工智能在癌症检测方面的研究。总的来说，我们的研究旨在为有兴趣利用人工智能检测癌症的研究人员提供一个平台和基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/a3a159a82814/curroncol-30-00125-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/0b1a1a3f97a1/curroncol-30-00125-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/18133c9228d5/curroncol-30-00125-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/56e8a5d58096/curroncol-30-00125-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/227aea103ecc/curroncol-30-00125-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/46dd381ddac0/curroncol-30-00125-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/a3a159a82814/curroncol-30-00125-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/0b1a1a3f97a1/curroncol-30-00125-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/18133c9228d5/curroncol-30-00125-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/56e8a5d58096/curroncol-30-00125-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/227aea103ecc/curroncol-30-00125-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/46dd381ddac0/curroncol-30-00125-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da70/9954989/a3a159a82814/curroncol-30-00125-g006.jpg

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Entanglement between pharmacy/pharmaceutical education and cancer? A bibliometric answer.

Asian Biomed (Res Rev News). 2025-9-2

[2]
Global Research Trends in Artificial Intelligence and Type 2 Diabetes Mellitus: A Bibliometric Perspective.

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[3]
Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer Metastasis Rev. 2025-8-6

[4]
Research trends of artificial intelligence and radiomics in lung cancer: a bibliometric analysis.

Quant Imaging Med Surg. 2024-12-5

[5]
A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning.

Sci Rep. 2024-11-2

[6]
Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022.

Discov Oncol. 2024-10-16

[7]
Hotspots and trends of artificial intelligence in the field of cataracts: a bibliometric analysis.

Int Ophthalmol. 2024-6-23

[8]
The global patent landscape of artificial intelligence applications for cancer.

Nat Biotechnol. 2023-12

[9]
Visualization of the relationship between fungi and cancer from the perspective of bibliometric analysis.

Heliyon. 2023-7-21

本文引用的文献

[1]
Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening.

J Breast Imaging. 2022-10-10

[2]
Using Artificial Intelligence for Drug Discovery: A Bibliometric Study and Future Research Agenda.

Pharmaceuticals (Basel). 2022-11-30

[3]
3-Methoxy Carbazole Impedes the Growth of Human Breast Cancer Cells by Suppressing NF-κB Signaling Pathway.

Pharmaceuticals (Basel). 2022-11-14

[4]
Applying Deep Learning for Breast Cancer Detection in Radiology.

Curr Oncol. 2022-11-16

[5]
Trend of Polymer Research Related to COVID-19 Pandemic: Bibliometric Analysis.

Polymers (Basel). 2022-8-12

[6]
Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements.

Curr Oncol. 2022-6-10

[7]
Unveiling the Multitarget Anti-Alzheimer Drug Discovery Landscape: A Bibliometric Analysis.

Pharmaceuticals (Basel). 2022-4-28

[8]
A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer.

Cancers (Basel). 2022-3-27

[9]
Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.

Curr Oncol. 2022-3-7

[10]
A machine and human reader study on AI diagnosis model safety under attacks of adversarial images.

Nat Commun. 2021-12-14

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