SynthesisFrontiers in artificial intelligence2026
From theory to autonomy: a topic modelling study of quantum finance through the lens of Datatopia and TOE.
Synthesis in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Bibliometric and Latent Dirichlet Allocation (LDA) analysis of artificial intelligence for thyroid nodules.Frontiers in endocrinology · 2026Pooled it
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantum finance is an emerging frontier that combines quantum theory with computational finance to deal with complex financial market dynamics. Despite of its rapid expansion, the field literature still remains fragmented, making it difficult to trace its intellectual development. So, Structural Topic Modeling, an AI-based unsupervised machine learning technique widely used in natural language processing, together with the Mann-Kendall trend test, to identify the latent thematic structure of the corpus and examine their temporal trends. Through STM, six topics are identified. The MK trend test is used for analyzing the temporal trends of articles collected based on PRISMA guidelines from both the databases, Scopus and Web of Science. The six identified topics are placed into the Datatopia quadrants, highlighting how the field spans from conceptually oriented "Aspiring Creativity" to the technologically autonomous, "Sorcerer's Apprentice," reflecting its expanding conceptual and technical foundations and the field's growing alignment with AI-driven financial innovation. The TOE (Technology-Organization-Environment) framework further elucidates how technological advances, organisational adaptation and environmental factors shaped this transition toward AI-enabled financial innovation. The Mann-Kendall test showed positive thematic trends across AI-related topics, particularly "Quantum ML and Prediction," while the final results also highlighted "algorithmic governance" as a new form of sustainability within AI-driven financial systems. Overall, this study provides a comprehensive view of the field's development and demonstrates how combining topic modelling with conceptual frameworks can offer a systematic and scalable approach for analysing emerging interdisciplinary fields such as quantum finance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.