Clinical Advances in Artificial Intelligence in Urology

Dear Colleagues,

The science of artificial intelligence (AI) is advancing rapidly in various domains, including medicine. Similarly, AI has broadened its uses in the diagnostic and therapeutic domains of urology. Its application can significantly enhance the individualization of diagnosis and treatment and lower healthcare costs. However, its prospective uses and benefits are frequently overlooked or only partially understood. Additionally, to better comprehend this technology and safeguard patients and providers, potential ethical concerns, such as patient safety, cybersecurity, transparency, and data interpretability, need to be assessed before further use of AI is attempted. Numerous extremely complicated non-medical processes have already been investigated, and automated process optimization is possible thanks to recent developments in computer science. When used appropriately, creating AI models can result in more efficient patient-related data processing and analysis, improving urology patient diagnosis and treatment. Artificial intelligence (AI) using machine learning (ML) algorithms and artificial neural network (ANN) processes has been implemented to provide a precise and transversal perspective of a clinical scenario. We invite authors to submit papers for this Special Issue discussing the clinical application of AI in urology for both diagnosis and treatment.

Dr. Theodoros Tokas
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.