Urological cancers, including prostate, bladder, and kidney cancers, pose a significant healthcare challenge worldwide. To address this challenge, effective research and clinical management require comprehensive and accurate data collection. However, traditional manual data collection methods are time-consuming, error-prone, and limited in their ability to handle large-scale datasets. In this paper, we present the Cancer Research Uro-Oncology Database (CRUOD), a novel automated system designed to streamline the collection and management of uro-oncology data. CRUOD leverages advanced technologies such as natural language processing, machine learning, and cloud computing to automate data extraction, standardization, and storage processes.
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Journal of Oncology Medicine & Practice received 142 citations as per Google Scholar report
