Figure - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Content may be subject to copyright.
Source publication
The use of Artificial Intelligence, especially machine learning and artificial neural networks, has dramatically increased in urology, assisting in innovative ways for diagnosis, prognosis, and treatment planning. This paper presents an up-to-date review of AI advances in the field of urology that pertain to its imaging aspects, particularly regard...
Context in source publication
Context 1
... the regulatory environment around medical AI is still evolving, and healthcare systems must ensure that these tools comply with medical standards and ethical guidelines. This Table 1 analysis depicts the comparative studies of works done in the field of urology using machine learning (ML) and neural network (NN) models. The analysis captures the main focus areas, the specific ML methods that were implemented and their corresponding clinical applications. ...