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Characterizing Artificial Intelligence Applications in Cancer Research using Latent Dirichlet Allocation (Preprint)
2019
JMIR Medical Informatics
Artificial intelligence (AI)-based therapeutics, devices, and systems are vital innovations in cancer control; particularly, they allow for diagnosis, screening, precise estimation of survival, informing therapy selection, and scaling up treatment services in a timely manner. The aim of this study was to analyze the global trends, patterns, and development of interdisciplinary landscapes in AI and cancer research. An exploratory factor analysis was conducted to identify research domains
doi:10.2196/14401
pmid:31573929
pmcid:PMC6774235
fatcat:v3cnn7gu5ndpdj45c2qq4tedxi