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Artificial Intelligence in Health AI in prostate cancer detection

Figure 5. Keywords overlay network.

Figure 6. Trend topics.

were identified, and each path revealed a specific research 7. Content analysis
theme, as tabulated in Table 5. The core contributions of In a pursuit to gain a deeper understanding of the current
the studies are also highlighted.
nature and direction of research, we performed a content
It is evident that the two predominant fields of interest analysis of the top 50 cited papers published from
are the application of AI in mpMRI and the accurate 2019 onward in the field of AI/ML applications in the
grading of tumors, distinguishing clinically significant diagnostics and treatment of prostate cancer. A keyword-
from non-significant, particularly on histopathological based approach to content analysis was used. The analysis
specimens. revealed two broad categories of published papers.

Volume 1 Issue 1 (2024) 9 https://doi.org/10.36922/aih.1958