Artificial intelligence (AI) and deep learning play an increasingly crucial role in
medical imaging in general, and in the field of
urology particularly.
The applications of AI in urology are numerous, starting with
accurate diagnosis (using image segmentation and abnormality detection), continuing with
biopsy and operative procedures (using tools for assisted navigation and robotic guidance), and ending in
treatment assessment (using tools similar to those used in diagnosis in order to assess the response to treatment).
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