The Present and Future of Artificial Intelligence in Urological Cancer
Xun Liu,
Jianxi Shi,
Zhaopeng Li
et al.
Abstract:Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomously. Although the clinical application of AI is still immature and faces drawbacks such as insufficient data and a lack of prospective clinical trials, AI will play an essential role in individualization and the who… Show more
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