Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere-a bibliometric analysis

The global research of artificial intelligence in lung cancer: a 20-year bibliometric analysis

Background

Lung cancer (LC) is the second-highest incidence and the first-highest mortality cancer worldwide. Early screening and precise treatment of LC have been the research hotspots in this field. Artificial intelligence (AI) technology has advantages in many aspects of LC and widely used such as LC early diagnosis, LC differential classification, treatment and prognosis prediction.

Objective

This study aims to analyze and visualize the research history, current status, current hotspots, and development trends of artificial intelligence in the field of lung cancer using bibliometric methods, and predict future research directions and cutting-edge hotspots.

Results

A total of 2931 articles published between 2003 and 2023 were included, contributed by 15,848 authors from 92 countries/regions. Among them, China (40%) with 1173 papers,USA (24.80%) with 727 papers and the India(10.2%) with 299 papers have made outstanding contributions in this field, accounting for 75% of the total publications. The primary research institutions were Shanghai Jiaotong University(n=66),Chinese Academy of Sciences (n=63) and Harvard Medical School (n=52).Professor Qian Wei(n=20) from Northeastern University in China were ranked first in the top 10 authors while Armato SG(n=458 citations) was the most co-cited authors. Frontiers in Oncology(121 publications; IF 2022,4.7; Q2) was the most published journal. while Radiology (3003 citations; IF 2022, 19.7; Q1) was the most co-cited journal. different countries and institutions should further strengthen cooperation between each other. The most common keywords were lung cancer, classification, cancer, machine learning and deep learning. Meanwhile, The most cited papers was Nicolas Coudray et al.2018.NAT MED(1196 Total Citations).

Conclusions

Research related to AI in lung cancer has significant application prospects, and the number of scholars dedicated to AI-related research on lung cancer is continually growing. It is foreseeable that non-invasive diagnosis and precise minimally invasive treatment through deep learning and machine learning will remain a central focus in the future. Simultaneously, there is a need to enhance collaboration not only among various countries and institutions but also between high-quality medical and industrial entities.

Is green FinTech reshaping the finance sphere? Unravelling through a systematic literature review

The revolutionary and transformative potential of FinTech has led to the Green Digital Finance Alliance, noting the dawn of a new era of FinTech-"the green FinTech", yet, surprisingly, the scholarly exploration surrounding climate finance in general and green FinTech and climate FinTech remains restrained. In our attempt to decode the intricate interlinkage between green finance and FinTech, the study wrestles with the theoretical complexity of the "green FinTech" concept through a systematic review of relevant studies and conceptual mapping. We develop a comprehensive grasp of the concept, how to leverage it to combat the pressing climate crisis, and its implications for the FinTech segment-the first of its kind in the scanty green FinTech literature. Based on the PRISMA analysis, we find that green FinTech promotes a green economy through its manifold impact on all aspects of the finance sphere, thereby channelling climate finance and promoting sustainability. It has the power to heighten inclusivity, disclosure, trust, and democratisation, thus reducing information asymmetry and greenwashing. Hence, FinTech integration can be game-changing in eliminating the hurdles before conventional green finance. However, the literature remains fragmented, along with a young, growing green FinTech market. Therefore, this study proposes a framework for future researchers by providing a holistic research agenda to fully integrate "green FinTech" into practical real-world applications.