International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 12 | Dec 2024
p-ISSN: 2395-0072
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A Bibliometric Analysis of Artificial Intelligence for Cancer Detection and Research Directions RAKSHITHA C M1 ,RACHANA B G2 ,SMRUTHI M S3 ,VINDHYA V ALUR4 1 2 3 4 Bachelor of Engineering, Information Science and Engineering, Bapuji Institute of Engineering and
Technology Davangere, affiliated to VTU Belagavi, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - Cancer is the leading cause of mortality globally, second only to cardiovascular disorders. Early cancer disease
detection greatly increases the likelihood of recovery. Artificial intelligence is one set of technology that is being used more and more to identify cancer. Because it enables the early detection of carcinomas, artificial intelligence has significant promise for helping physicians and other healthcare professionals. Artificial intelligence research for cancer diagnosis has expanded significantly in recent years. We carried out a bibliometric analysis of the body of literature pertaining to the use of AI in cancer diagnosis for this article. 6450 articles published between 1986 and 2022 on that subject were examined by us. We were able to provide an overview of this research field by doing this, covering its main subjects, pertinent publications, organizations, and articles. We created a study agenda for the future based on our findings, which may contribute to the advancement of artificial intelligence research for cancer diagnosis. In conclusion, our research aims to provide a platform and basis for scientists who are curious in the possibilities of artificial intelligence in cancer detection. Key Words: cancer detection; artificial intelligence; machine learning; deep learning; bibliometric study.
1.INTRODUCTION The fundamental building blocks of all plants and animals are living cells. These cells proliferate continuously to allow for growth or to replace damaged cells. Even though this process is typically balanced and under control, disruption to this genetic control may result in cancer [1]. Most cell-based life is susceptible to the condition known as cancer. It affects humanity for as long as it has existed, and the ancient Egyptians were the first to notice it [2]. Globally, cancer is the leading cause of death, second only to cardiovascular illnesses [3]. Globally, there were 9.6 million cancer-related deaths and over 18 million new cases of cancer in 2018 [4]. Considering the danger that cancer poses, scientists have long attempted to determine ways to To improve the odds of recovery, it's critical to identify cancer as soon as possible in addition to receiving therapy once it manifests [5–8]. Lung cancer is the most deadly type of cancer in part because it is hard to find in its early stages and difficult to treat when it has progressed [9, 10]. New strategies are always being developed to support an early cancer diagnosis because of the significant advantages of early cancer detection.Since its introduction in 1960 [11], mammography has become one of the most widely used methods for detecting breast cancer [12]. Computers are being utilized more and more to assist clinical practitioners in making medical diagnoses as a result of digitization and increases in processing capacity. Computer programs that aid in cancer detection Artificial intelligence (AI) is one technology that has gained more attention recently. The term artificial intelligence (AI) encompasses a wide range of innovations and technology. AI has been used in medicine recently for a number of reasons, such as assisting medical professionals in making decisions [15]. AI is being studied and applied more and more in the field of oncology for a variety of reasons [14]. The identification and diagnosis of cancer is one potential use. AI has the potential to revolutionize the early identification of cancer disorders and is the next development in CAD because of its ability to efficiently screen for or diagnose cancer or polyps [14,16]. AI for cancer detection and diagnosis has expanded quickly in recent years, both in clinical practice and as a field of study. Research on AI-supported cancer diagnosis has been growing yearly since the 2010s. These days, a variety of disciplines, including engineering, computer science, medicine, and mathematics, contribute to this research area. A thorough study that attempts to provide an overview of the research field of AI in cancer detection as a whole does not exist, despite the fact that there are several studies regarding AI on cancer [17–19]. This is surprising because AI for cancer diagnosis is now a vast and challenging topic to monitor because to the abundance of research and publications. This makes it challenging for scholars who are interested.
2. Artificial Intelligence Foundations The first artificial neuron notion was put forth by [28] in 1943 [27], marking the beginning of artificial intelligence. The phrase "artificial intelligence" was first used at the Darthmouth Conference thirteen years later [29]. As a result, artificial
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